In [3]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import plotly.express as px

import plotly.graph_objects as go

from plotly.offline import init_notebook_mode, iplot

init_notebook_mode() 
In [2]:
# remove empty columns

format the numbers nicely¶

In [4]:
pd.options.display.float_format = '{:,.1f}'.format
pd.set_option('display.max_rows', None)

Choropleth map of europe's protected forests¶

In [4]:
protection= pd.read_csv(r'world protected forests procent.csv')
In [5]:
protection.head()
Out[5]:
Unnamed: 0 total forest area 2020 1000 ha % protected forest out fo total forest area % forest of total land area % all nature protected areas out of total surface
0 Finland 22409 16.7 73.7 13.3
1 Sweden 27980 8.1 68.7 14.5
2 Japan 17100 9.1 68.5 29.8
3 Montenegro 827 19.7 61.5 13.8
4 Brazil 519500 42.3 61.0 7.2
In [6]:
protection= protection.rename(columns= {'Unnamed: 0': 'Country'})
In [7]:
protection.iloc[41,2]= 1
In [8]:
protection= protection.rename(columns= {'% protected forest out fo total forest area': '% protected forest out of total forest area'})
In [9]:
protection= protection.rename(columns= {'% protected forest out of total forest area': '% Protected Forest'})
protection= protection.rename(columns= {'total forest area 2020 1000 ha': 'Forest Area 2020 (1000 ha)'})
protection= protection.rename(columns= {'% forest of total land area': '% Forest'})
protection= protection.rename(columns= {'% all nature protected areas out of total surface': '% Protected Nature Areas'})

Read the geojson file of europe countries¶

  • find the common field which should be the country name
  • make sure all countries are written the same in both files
In [10]:
import geojson
import pandas as pd
import plotly.graph_objects as go
import geopandas as gpd
In [ ]:

In [11]:
europe_geojson = gpd.read_file("choropleth map protection\europe.geojson")
In [12]:
europe_geojson.head()
Out[12]:
featurecla scalerank labelrank sovereignt sov_a3 adm0_dif level type tlc admin ... fclass_id fclass_pl fclass_gr fclass_it fclass_nl fclass_se fclass_bd fclass_ua filename geometry
0 Admin-0 country 0 5 Lithuania LTU 0 2 Sovereign country 1 Lithuania ... None None None None None None None None LTU.geojson MULTIPOLYGON (((26.59453 55.66699, 26.60383 55...
1 Admin-0 country 0 5 Latvia LVA 0 2 Sovereign country 1 Latvia ... None None None None None None None None LVA.geojson POLYGON ((27.35293 57.52760, 27.52817 57.52848...
2 Admin-0 country 0 4 Belarus BLR 0 2 Sovereign country 1 Belarus ... None None None None None None None None BLR.geojson POLYGON ((23.60624 51.51740, 23.60231 51.53078...
3 Admin-0 country 0 5 Czechia CZE 0 2 Sovereign country 1 Czechia ... None None None None None None None None CZE.geojson POLYGON ((14.81039 50.85845, 14.83168 50.85798...
4 Admin-0 country 0 2 Germany DEU 0 2 Sovereign country 1 Germany ... None None None None None None None None DEU.geojson MULTIPOLYGON (((13.81572 48.76643, 13.78586 48...

5 rows × 170 columns

In [338]:
protection['Country'].unique()
Out[338]:
array(['Finland', 'Sweden', 'Japan', 'Montenegro', 'Brazil', 'Slovenia',
       'Estonia', 'Latvia', 'Russian Federation', 'Austria', 'Belarus',
       'Bosnia and Herzegovina', 'Liechtenstein', 'Georgia',
       'Slovak Republic', 'Norway', 'Spain', 'Luxembourg', 'Portugal',
       'United States', 'Bulgaria', 'Lithuania', 'Croatia',
       'Czech Republic', 'Andorra', 'Italy', 'Germany', 'Switzerland',
       'France', 'Serbia', 'Poland', 'Greece', 'Romania', 'Turkiye',
       'Albania', 'Belgium', 'Hungary', 'Cyprus', 'Ukraine', 'Denmark',
       'United Kingdom', 'Moldova', 'Ireland', 'Netherlands', 'Malta',
       'Iceland', 'Monaco'], dtype=object)
In [13]:
protection['Country']= protection['Country'].str.replace('Czech Republic', 'Czechia')
In [14]:
protection['Country']= protection['Country'].str.replace('Bosnia and Herzegovina', 'Bosnia and Herz.')
In [15]:
protection['Country']= protection['Country'].str.replace('Turkiye', 'Turkey')
protection['Country']= protection['Country'].str.replace('Russian Federation', 'Russia')
In [16]:
protection['Country']= protection['Country'].str.replace('Slovak Republic', 'Slovakia')
protection['Country']= protection['Country'].str.replace('Russian Federation', 'Russia')
In [17]:
list(set(list(europe_geojson['name'].unique())) - set(list(protection['Country'])))
Out[17]:
['Åland',
 'Gibraltar',
 'Guernsey',
 'San Marino',
 'Kosovo',
 'Jersey',
 'Isle of Man',
 'Faeroe Is.',
 'Vatican',
 'North Macedonia']
In [18]:
list(set(list(protection['Country']))- set(list(europe_geojson['name'].unique())) )
Out[18]:
['United States', 'Brazil', 'Cyprus', 'Turkey', 'Japan', 'Georgia']
In [19]:
import json
back_geojson = europe_geojson.to_json()
j = json.loads(back_geojson)
In [20]:
['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
             'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
             'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
             'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
             'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
             'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
             'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
             'orrd', 'oryel', 'oxy', 'peach', 'phase', 'picnic', 'pinkyl',
             'piyg', 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn',
             'puor', 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu',
             'rdgy', 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar',
             'spectral', 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn',
             'tealrose', 'tempo', 'temps', 'thermal', 'tropic', 'turbid',
             'turbo', 'twilight', 'viridis', 'ylgn', 'ylgnbu', 'ylorbr',
             'ylorrd'].
        Appending '_r' to a named colorscale reverses it.
  File "C:\Users\mihai\AppData\Local\Temp/ipykernel_8868/3905000332.py", line 15
    'ylorrd'].
              ^
SyntaxError: invalid syntax

Graph improvements:

  • custom color scale ? I want to shame the countries that have less than 10%, praise the ones with over 40%
  • can I have a larger zoom?

  • in the app, need to be able to select the state. when I select I want the country and % displayed

  • I want a dropdown/radiobutton that will allow the user to see several indicators
In [21]:
protection.loc[1, '% Protected Forest']= 6.8
In [22]:
list(set(list(europe_geojson['name'].unique())) - set(list(protection['Country'])))
Out[22]:
['Åland',
 'Gibraltar',
 'Guernsey',
 'San Marino',
 'Kosovo',
 'Jersey',
 'Isle of Man',
 'Faeroe Is.',
 'Vatican',
 'North Macedonia']
In [23]:
protection.loc[47]= protection.loc[46]
protection.loc[48]= protection.loc[46]
In [24]:
protection.iloc[47, 0]= 'Kosovo'
protection.iloc[47, 1]= 1089
protection.iloc[47, 3]= 44.7
protection.iloc[47, 2]= 42.6
protection.iloc[47, 4]= 4.39

protection.iloc[48, 0]= 'North Macedonia'
protection.iloc[48, 1]= 989
protection.iloc[48, 3]= 38.5
protection.iloc[48, 2]= 13.1
protection.iloc[48, 4]= 8.9
In [25]:
# europe_geojson = gpd.read_file("choropleth map protection\custom.geojson")
In [26]:
import json
back_geojson = europe_geojson.to_json()
j = json.loads(back_geojson)
In [ ]:
 
In [27]:
import plotly.offline as pyo
import plotly.graph_objs as go
# Set notebook mode to work in offline
pyo.init_notebook_mode()
In [353]:
import geojson
import pandas as pd
import plotly.graph_objects as go

# with open("file.geojson", "r", encoding="utf-8") as f:
#     geometry = geojson.load(f)
import plotly.express as px

fig = px.choropleth(protection, geojson=j, locations='Country', color='% Protected Forest',featureidkey="properties.name",
                           color_continuous_scale= [[0, 'rgb(254, 125, 74)'], [0.2, 'yellow'],[0.4, 'rgb(221, 247, 180)'], [1, 'green']],
#                            range_color=(0, 12),
                           scope="europe",
                    projection="hammer",
                           labels={'% Protected Forest':'% Protected Forest'}
                          )

fig = px.choropleth_mapbox(protection, geojson=j, locations='Country', color='% Protected Forest',featureidkey="properties.name",
                           color_continuous_scale= [[0, 'rgb(254, 125, 74)'], [0.2, 'yellow'],[0.4, 'rgb(221, 247, 180)'], [1, 'green']],
#                            range_color=(0, 12),
#                            scope="europe",
#                     projection="hammer",
                           labels={'% Protected Forest':'% Protected Forest'},
                          
                           mapbox_style="carto-positron",
                           zoom=3, center = {"lat": 58, "lon": 15},
                           opacity=0.7,
                           
                          )
fig.update_layout(autosize=True,
    width=1000,
    height=900,
    margin=dict(
        l=10,
        r=10,
        b=100,
        t=100,
        pad=1))
fig.update_layout(
    title={
        'text': "<b>Protected Forest out of Total Forested Area (%)",
        'y':0.95,
        'x':0.45,
        'xanchor': 'center',
        'yanchor': 'top'})
fig.show()

Procent protected forest inside each county¶

In [47]:
import pandas as pd
protected_forest_county= pd.read_csv(r'graphs\Protected forest by county.csv')
In [48]:
protected_forest_county= protected_forest_county.rename(columns= {'region': 'County'})
In [ ]:
 
In [49]:
protected_forest_county.head()
Out[49]:
County All Land Areal Protected areal i hektar 2021 Protected Landareal i hektar 2021 protected Water areal Total Forest Areal per County Total Productive Forest Area Total Improductive Forest Area Total productive forest inside nature protected areas NOT PROTECTED Productive forest inside nature protected areas PROTECTED Productive forest inside formally protected areas Formal procent of protected land % Forest in Total Land Area % Productive Forest in Total Area % Protected Forest out of Total Productive Forest
0 01 Stockholms län 654858 198530 60693 137837 359000 304,000.0 55,000.00 36000 18400 17600 30.3 54.8 46.4 4.9
1 03 Uppsala län 823097 107785 36460 71325 541000 519,000.0 22,000.00 23400 5500 17900 13.1 65.7 63.1 3.3
2 04 Södermanlands län 609879 53392 20441 32951 375000 351,000.0 24,000.00 11000 4000 7000 8.8 61.5 57.6 1.9
3 05 Östergötlands län 1060373 65431 26026 39405 691000 629,000.0 62,000.00 14700 1700 13000 6.2 65.2 59.3 1.9
4 06 Jönköpings län 1048105 30863 28305 2558 744000 718,000.0 26,000.00 9800 1900 7900 2.9 71.0 68.5 1.1
In [50]:
# sort by total land area
protected_forest_county= protected_forest_county.sort_values(by= 'All Land Areal')
In [51]:
# cleanup the County name

import re
protected_forest_county['County']  =  protected_forest_county['County'].str[3:]
In [52]:
protected_forest_county['County']  =  protected_forest_county['County'].str.replace('s län', '')
In [53]:
protected_forest_county['County']  =  protected_forest_county['County'].str.replace(' län', '')
In [54]:
protected_forest_county= protected_forest_county.rename(columns= {'region': 'County'})
protected_forest_county= protected_forest_county.rename(columns= {'Productive forest inside formally protected areas that ARE in fact protected agains cutting': 'Protected Productive Forest'})

protected_forest_county= protected_forest_county.rename(columns= {'Total Forest Area 2021': 'Total Forest Area'})

stacked bar chart showing:¶

  • total surface
  • land surface
  • forest surface
  • productive split in : protected unprotected
In [55]:
protected_forest_county.columns
Out[55]:
Index(['County', 'All Land Areal', 'Protected areal i hektar 2021',
       'Protected Landareal i hektar 2021', 'protected Water areal ',
       'Total Forest Areal per County', 'Total Productive Forest Area',
       'Total Improductive Forest Area',
       'Total productive forest inside nature protected areas',
       'NOT PROTECTED Productive forest inside nature protected areas ',
       'PROTECTED Productive forest inside formally protected areas ',
       'Formal procent of protected land', '% Forest in Total Land Area',
       '% Productive Forest in Total Area',
       '% Protected Forest out of Total Productive Forest'],
      dtype='object')
In [56]:
import plotly.graph_objects as go

protected_forest_county= protected_forest_county.sort_values(by= 'Total Forest Areal per County', ascending = True)

# fig = px.bar(protected_forest_county, y="County", x=["All Land Areal", "Total Forest Area 2021", "Total Productive Forest Area",'Protected Productive Forest'], 
#              title="Protected Forest Area by County (hectares) - 2021",
#             barmode='overlay',
#             orientation='h', opacity=0.7)
fig = go.Figure()
fig.add_trace(go.Bar(x=protected_forest_county["PROTECTED Productive forest inside formally protected areas "],
                y= protected_forest_county["County"],
                name='Protected Productive Forest',
                marker_color='red', orientation= 'h', legendrank=3
                ))
fig.add_trace(go.Bar(x =protected_forest_county["Total Productive Forest Area"],
                y= protected_forest_county["County"],
                name='Total Productive Forest',
                marker_color='rgb(197, 219, 204)', orientation= 'h', legendrank=2
                ))

fig.add_trace(go.Bar(x=protected_forest_county["Total Forest Areal per County"],
                y= protected_forest_county["County"],
                name='Total Forest Areal per County',
                marker_color='green', orientation= 'h', legendrank=1
                ))

# fig.add_trace(go.Bar(x=protected_forest_county["All Land Areal"],
#                 y= protected_forest_county["County"],
#                 name='Rest of world',
#                 marker_color='gray', orientation= 'h'
#                 ))
fig.update_layout(height=700, width= 600,legend=dict(
        x=0.4,
        y=0.02), paper_bgcolor='rgba(0,0,0,0)',
    plot_bgcolor='rgba(0,0,0,0)', title= '<b>Productive Forest Protected Area (hectares) - 2021', title_x=0.5)

fig.show()

Although the counties up in the north have the greatest surface protected, some counties in the south show a relative better situation, as a greater procent of their productive surface is indeed protected. - see choropleth map below¶

In [57]:
all_land_protected = pd.read_csv(r'graphs\all land versus protected areas pie chart.csv')
In [63]:
all_land_protected
Out[63]:
Nature Type 2021
0 Land above the alpine border* 1923100
1 Improductive forest* 890700
2 Productive forest* 1021500
3 Land below the alpine border* 822300
4 Sea plus Inland Waters* 1126100
5 Forest Area 25960800
6 All other land 9255500
In [64]:
all_land_protected = pd.read_csv(r'graphs\all land versus protected areas pie chart_simplified.csv')
In [65]:
all_land_protected
Out[65]:
Nature Type 2021
0 Land above the alpine border* 1923100
1 Improductive forest* 890700
2 Productive forest* 1021500
3 Land below the alpine border* 822300
4 Sea plus Inland Waters* 1126100
5 Forest Area 25960800
6 All other land 9255500
In [66]:
all_land_protected['order']= [5, 3, 4,6, 7 , 2,1]
In [67]:
all_land_protected= all_land_protected.sort_values(by= 'order')
In [ ]:
 
  • Protected under the permanent forms of protection of National Park and Nature Reserve. There are additional forms of protection which are much weaker. Some are time-limited and dependent on state subventions (Naturvårdsavtal), other such as Voluntary protection and Consideration surfaces (small patches left when clear-cutting) are not monitored directly and are not permanent. In addition, in their quest for maximizing profits, forest owners leave only difficult surfaces which are deemed less productive. Also because they are in direct control of the land owners, they are small and highly fragmented, making their protection value weak.

See forest by protection type here: https://www.skogsstyrelsen.se/globalassets/om-oss/rapporter/rapporter-2022/rapport-2022-12-levande-skogar---fordjupad-utvardering-2023.pdf p 52 In addition, productive forest inside nature reserves need to have a 'föreskrift' in their status so that they will not be cut. Presently 9% of the productive forest inside national parks and nature reserves lack this status and may be exploited. On top of this, under certain conditions , the official protection status may be overriden and the forest cut down. For example, in 2020, 168 nature reserves were opened for exploitation with the pretext of fighting the spread of an insect (which will be discussed in a separate section). As an example of what this means, in one of them 58% of the surface will be clearcut. (not selective logging)

https://www.natursidan.se/nyheter/regeringen-oppnar-for-avverkning-i-168-naturreservat/ https://www.aktuellhallbarhet.se/alla-nyheter/debatt/sluta-kalavverka-naturreservat/ That is why official statistics about the protection of forests in Sweden should be viewed with a critical eye.

Can i find the rules about retention surfaces? how big are they? how frgmented¶

In [69]:
labels = all_land_protected['Nature Type']
values = all_land_protected['2021']

color_discrete_map= ['rgb(170, 201,197 )', 'rgb(105,186,110 )', 'rgb(132, 146, 132)','rgb(239,166,82)',
                     'rgb(102,255,255)','rgb(156, 216, 126)', 'rgb(0,76,153)']  


# color_discrete_map={'All other land':'rgb(170, 201,197 )',
#                                  'Forest Area':'rgb(146, 201,161 )',
#                                  'Improductive forest*':'rgb(132, 146, 132)',
#                                  'Productive forest*':'rgb(132, 146, 132)',
#                                    'Land above the alpine border*': 'rgb(175, 222, 216)',
#                                    'Land below the alpine border*': 'rgb(156, 216, 126)',
#                                 'Sea plus Inland Waters*': 'rgb(81, 192, 247)'}



trace2 = go.Pie(
    labels=labels, values=values,sort= False, direction= 'clockwise', 
#                              hole= 0.3, 
                             pull=[0, 0, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3],
    textinfo='label',
    textposition='outside',  marker=dict(colors=color_discrete_map))

trace1 = go.Pie(
    labels=labels, values=values,sort= False, direction= 'clockwise', 
#                              hole= 0.3, 
                             pull=[0, 0, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3],  textinfo='percent',
    textposition='inside',  marker=dict(colors=color_discrete_map 
#                                         ,line=dict(color='#000000', width=[0, 0,2,2,2,2,2,2])
                                       ))
                                                                             

fig = go.Figure(data=[trace2,trace1] )
fig.update_layout(showlegend=False)
fig.update_layout(uniformtext_minsize=14, uniformtext_mode='hide', height=850, width= 850)

fig.update_traces(rotation=160)

fig.update_layout(
    title={
        'text': "<b>Land Use in Sweden with Protected Areas(*) by Type",
        'y':0.85,
        'x':0.5,
        'xanchor': 'center',
        'yanchor': 'top'})

fig.show()
# iplot([trace1, trace2], filename='basic_pie_chart')

A formatted table with the difference between produktiv and improduktiv skog¶

In [4]:
productive= ['Yearly growth at least 1 cubic meter per year/hectare due to favorable natural conditions', 
             'Tree cover average is 70%','Set on accessible terrain which make exploitation easier',
             'Contains 80% of the total CO2 sink stored by protected areas',
            'The large majority of forest species, including the threathned ones, live in a productive forest environment',
             'At least 1 400 threathened species are directly impacted by the current clear-cutting practices in Sweden',
             'Only 3.5% of the productive forest in Sweden is protected de facto, even if they lie within a formally protected area']
improductive= ['Slow growth, less than 1 cubic metre per year/hectare due to harsher natural conditions',
               'Tree cover at least 10% of the surface' ,
               'Natural impediments such as mires and stony areas with thin cover are counted under this form, which may well not even be considered forest**',
               'Contains 20% of the total CO2 sink stored by protected areas',
               'Offers little or no support for various species of plants or animals', 
               'Only 2% of the forest dependent species thrive in this environment', 
              'In Sweden a good portion of the protected forests are in fact improductive and they are situated in the alpine region']
# https://www.artdatabanken.se/det-har-gor-vi/rodlistning/Sammanfattning-rodlista-2020/#:~:text=B%C3%A5de%20bland%20de%20skogslevande%20arterna,att%20skogslevande%20arter%20blir%20r%C3%B6dlistade.               
#  reference: https://www.artdatabanken.se/arter-och-natur/Dagens-natur/manga-skogslevande-arter-hotas-av-trakthyggesbruk/
In [13]:
import plotly.graph_objects as go
fig = go.Figure(data=[go.Table(header=dict(values=['<b>Productive Forest', '<b>Improductive Forest'],
                                          line_color='darkslategray'),
                 cells=dict(values=[productive, improductive], 
                            align= 'left', 
                            line_color='darkslategray',
                            fill_color='white',
                            font=dict( size=13), 
                          ))
                               ])
fig.update_layout (height=700, width= 700)


# fig.table.cells.Fill`(color= 'white')
fig.show()

Here a graph showing the from the protected forests, a lot is improductive, and above the apine border¶

  • also a map of where most of the reservations are

My variables: Tree cover Tree growth Soil quality Acessibility Supports wildlife Protection Status

In [70]:
categories = ['Tree cover','Tree growth','Soil quality', 'Acessibility', 'Potential for Biodiversity', 'Protection Status', 'CO2 sink']

fig = go.Figure()

fig.add_trace(go.Scatterpolar(
      r=[4, 5, 4, 5, 5, 0.3, 5],
      theta=categories,
      fill='toself',
      name='Productive Forests'
))
fig.add_trace(go.Scatterpolar(
      r=[1, 1, 1, 1, 2, 3, 1],
      theta=categories,
      fill='toself',
      name='Improductive Forests'
))

fig.update_layout(
  polar=dict(
    radialaxis=dict(
      visible=False,
      range=[0, 5]
    )),
  showlegend=True
)

fig.update_layout(legend=dict(
    yanchor="bottom",
    y=1,
    xanchor="right",
    x=0.3))

fig.show()

Add more variables:¶

  • No of plant species stored
  • no of animal species

A map showing where the protected productive forests are

In [ ]:
 
In [ ]:
 
In [ ]:
 
In [ ]:
 
In [9]:
import geopandas as gpd
sweden_geojson = gpd.read_file(r'C:\Users\mihai\Documents\monica\Dataquest\TUTORIAL\portofoliu\recycling sweden\Choropleth map\data\sweden-counties_1680.geojson')
In [10]:
protected_forest_county= pd.read_csv(r'graphs\Protected forest by county.csv')
In [11]:
protected_forest_county.head()
Out[11]:
region All Land Areal Protected areal i hektar 2021 Protected Landareal i hektar 2021 protected Water areal Total Forest Areal per County Total Productive Forest Area Total Improductive Forest Area Total productive forest inside nature protected areas NOT PROTECTED Productive forest inside nature protected areas PROTECTED Productive forest inside formally protected areas Formal procent of protected land % Forest in Total Land Area % Productive Forest in Total Area % Protected Forest out of Total Productive Forest
0 01 Stockholms län 654858 198530 60693 137837 359000 304000.0 55,000.00 36000 18400 17600 30.3 54.8 46.4 4.9
1 03 Uppsala län 823097 107785 36460 71325 541000 519000.0 22,000.00 23400 5500 17900 13.1 65.7 63.1 3.3
2 04 Södermanlands län 609879 53392 20441 32951 375000 351000.0 24,000.00 11000 4000 7000 8.8 61.5 57.6 1.9
3 05 Östergötlands län 1060373 65431 26026 39405 691000 629000.0 62,000.00 14700 1700 13000 6.2 65.2 59.3 1.9
4 06 Jönköpings län 1048105 30863 28305 2558 744000 718000.0 26,000.00 9800 1900 7900 2.9 71.0 68.5 1.1
In [12]:
protected_forest_county['region']= protected_forest_county['region'].str[3:]
In [13]:
protected_forest_county['region']= protected_forest_county['region'].str.replace('s län', '')
In [14]:
protected_forest_county['region']= protected_forest_county['region'].str.replace(' län', '')
In [15]:
protected_forest_county['region']= protected_forest_county['region'].str.replace('Örebro', 'Orebro')

this map should have a radiobutton or selectbox to show different measures - this is done in Dash¶

For now I will show % Protected Productive forest out of total productive per län

In [16]:
missing= list(set(list(sweden_geojson['NAME_1'].unique())) - set(list(protected_forest_county['region'])))
In [17]:
missing
Out[17]:
[]
In [18]:
protected_forest_county= protected_forest_county.rename(columns= {'region': 'County'})
In [19]:
import json
back_geojson = sweden_geojson.to_json()
j = json.loads(back_geojson)
In [20]:
j
Out[20]:
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       [13.723016, 57.735438],
       [13.752846, 57.759415],
       [13.738716, 57.839925],
       [13.789741, 57.837945],
       [13.808974, 57.825407],
       [13.86, 57.823427],
       [13.91652, 57.839705],
       [13.951061, 57.836845],
       [13.973826, 57.80187],
       [14.016609, 57.79945],
       [14.011507, 57.830686],
       [14.017394, 57.844544],
       [14.058215, 57.855543],
       [14.101783, 57.848724],
       [14.10767, 57.862362],
       [14.138678, 57.881939],
       [14.172041, 57.883479],
       [14.212076, 57.898877],
       [14.209721, 57.912296],
       [14.231702, 57.935833],
       [14.222282, 57.993905],
       [14.234449, 58.021622],
       [14.257214, 58.040759],
       [14.27684, 58.077715],
       [14.311773, 58.124349],
       [14.341603, 58.152725],
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       [14.733323, 58.674279],
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       [14.69839, 58.731252],
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       [14.627346, 58.687697],
       [14.593984, 58.677359],
       [14.5512, 58.675599],
       [14.557481, 58.689457],
       [14.535893, 58.715414],
       [14.511558, 58.705515],
       [14.476625, 58.708375],
       [14.482905, 58.722233],
       [14.47427, 58.775906],
       [14.420496, 58.787125],
       [14.368293, 58.838818],
       [14.389096, 58.871374],
       [14.359658, 58.892491],
       [14.324333, 58.895571],
       [14.319623, 58.922408],
       [14.291362, 58.934506],
       [14.296857, 59.006877],
       [14.233272, 59.022055],
       [14.222282, 59.035253],
       [14.178714, 59.033274],
       [14.150453, 59.045372],
       [14.054682, 59.040973],
       [14.040159, 59.022275],
       [13.943996, 59.022275],
       [13.757164, 59.035913],
       [13.729688, 59.043612],
       [13.659037, 59.044712],
       [13.622534, 59.051971],
       [13.580929, 59.040753],
       [13.518128, 59.001598],
       [13.477308, 58.98598],
       [13.42275, 58.951664],
       [13.376434, 58.872474],
       [13.379182, 58.859056],
       [13.356809, 58.839918],
       [13.343856, 58.816601],
       [13.346996, 58.798783],
       [13.388602, 58.764908],
       [13.416862, 58.752809],
       [13.420394, 58.734991],
       [13.351314, 58.731252],
       [13.258683, 58.717394],
       [13.221395, 58.729052],
       [13.210012, 58.742031],
       [13.064393, 58.774806],
       [12.992564, 58.784265],
       [12.945856, 58.799883],
       [12.900718, 58.806262],
       [12.883841, 58.846077],
       [12.872065, 58.90415],
       [12.86343, 58.90349],
       [12.852048, 58.957163],
       [12.838703, 58.978941],
       [12.808872, 58.995438],
       [12.776294, 59.025135],
       [12.754707, 59.127862],
       [12.705251, 59.152059],
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       [12.665608, 59.172516],
       [12.630675, 59.170536],
       [12.628713, 59.13864],
       [12.588285, 59.122802],
       [12.492513, 59.117303],
       [12.474066, 59.120823],
       [12.459543, 59.146999],
       [12.421863, 59.158438],
       [12.463468, 59.169876],
       [12.459543, 59.187694],
       [12.415582, 59.185054],
       [12.349249, 59.167677],
       [12.319811, 59.179335],
       [12.275458, 59.181315],
       [12.250731, 59.211451],
       [12.241703, 59.251486],
       [12.216583, 59.245547],
       [12.138082, 59.240707],
       [12.082346, 59.250826],
       [12.096084, 59.192973],
       [12.107859, 59.180215],
       [12.083916, 59.169656],
       [12.034068, 59.193633],
       [12.030928, 59.207052],
       [11.99364, 59.213871],
       [11.961455, 59.238948],
       [11.939474, 59.21937],
       [11.894729, 59.22113],
       [11.820545, 59.234548],
       [11.782472, 59.209471],
       [11.78679, 59.191654],
       [11.77266, 59.177355],
       [11.782472, 59.1371],
       [11.767165, 59.127202],
       [11.783257, 59.096626],
       [11.734587, 59.043612],
       [11.704364, 59.023595],
       [11.689056, 58.977401],
       [11.694551, 58.955184],
       [11.664329, 58.934946],
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       [11.612518, 58.895571],
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       [11.535979, 58.885892],
       [11.464544, 58.890292],
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       [11.312252, 59.110704],
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       [11.135232, 59.033274],
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In [42]:
import geojson
import pandas as pd
import plotly.graph_objects as go

# with open("file.geojson", "r", encoding="utf-8") as f:
#     geometry = geojson.load(f)
import plotly.express as px

# fig = px.choropleth(protected_forest_county, geojson=j, locations='County', color='% Protected Forest out of Total Productive Forest',
#                     featureidkey="properties.NAME_1",
#                            color_continuous_scale= [[0, 'rgb(254, 125, 74)'], [0.2, 'yellow'],[0.4, 'rgb(221, 247, 180)'], [1, 'green']],
# #                            range_color=(0, 12),
# #                            scope="europe",
#                     projection="hammer",
#                            labels={'% Protected Forest out of Total Productive Forest': '% Protected Forest out of Total Productive Forest'}
#                           )

fig = px.choropleth_mapbox(protected_forest_county, geojson=j, locations='County', 
                           color='% Protected Forest out of Total Productive Forest',
                           color_continuous_scale="rdylgn",
                           featureidkey="properties.NAME_1",
                           range_color=(0, 10),
                           mapbox_style="carto-positron",
                           zoom=4, center = {"lat": 63, "lon": 14},
                           opacity=0.7,
                           labels={}
                          )


fig.update_layout(autosize=True,
    width=900,
    height=800,
    margin=dict(
        l=50,
        r=50,
        b=100,
        t=100,
        pad=1))
fig.update_layout(
    title={
        'text': "<b>% Protected Forest out of Total Productive Forest",
        'y':0.95,
        'x':0.35,
        'xanchor': 'center',
        'yanchor': 'top'})
fig.update_traces(showlegend=False, showscale=False)

# fig.update_layout(coloraxis_showscale=False)
fig.show()

Add a the forest surface in the hover info.¶

add a radio button for the user to choose between % and total productive forest area¶

In [97]:
import plotly.graph_objects as go

protected_forest_county= protected_forest_county.sort_values(by= 'Total Forest Areal per County', ascending = True)

# fig = px.bar(protected_forest_county, y="County", x=["All Land Areal", "Total Forest Area 2021", "Total Productive Forest Area",'Protected Productive Forest'], 
#              title="Protected Forest Area by County (hectares) - 2021",
#             barmode='overlay',
#             orientation='h', opacity=0.7)
fig = go.Figure()
fig.add_trace(go.Bar(x=protected_forest_county["PROTECTED Productive forest inside formally protected areas "],
                y= protected_forest_county["County"],
                name='Protected Productive Forest',
                marker_color='red', orientation= 'h', legendrank=3
                ))
fig.add_trace(go.Bar(x =protected_forest_county["Total Productive Forest Area"],
                y= protected_forest_county["County"],
                name='Total Productive Forest',
                marker_color='rgb(197, 219, 204)', orientation= 'h', legendrank=2
                ))

fig.add_trace(go.Bar(x=protected_forest_county["Total Forest Areal per County"],
                y= protected_forest_county["County"],
                name='Total Forest Areal per County',
                marker_color='green', orientation= 'h', legendrank=1
                ))

# fig.add_trace(go.Bar(x=protected_forest_county["All Land Areal"],
#                 y= protected_forest_county["County"],
#                 name='Rest of world',
#                 marker_color='gray', orientation= 'h'
#                 ))
fig.update_layout(height=700, width= 800,legend=dict(
        x=0.4,
        y=0.02), paper_bgcolor='rgba(0,0,0,0)',
    plot_bgcolor='rgba(0,0,0,0)', title= '<b>Productive Forest Protected Area (hectares) - 2021', title_x=0.5)

fig.show()

what is being protected?¶

https://www.artdatabanken.se/globalassets/ew/subw/artd/2.-var-verksamhet/publikationer/6.tillstandet-i-skogen/rapport_tillstandet_skogen.pdf

yearly there are new surfaces declared as 'protected' in the more weaker forms such as hänsyn/etc. At a closer look we discover that these surfaces :

  • are usually newly cut or have young forest on them
  • are small
  • are fragmented
  • they are not permanent (how long?) that means that maybe in 50 years, when they might have a ecocystem value, they may be cut down

-

Older forests are being continually cut, this shows slearly in the age distribution of forest, where the group 80-140 years old are continually falling.¶

In [ ]:
 

A stacked area chart, time animated¶

  • total produktiv
  • starting point for slutavverkning
  • cumulative surface that has been clear-cut at least once
In [98]:
import pandas as pd
cumulative_clear= pd.read_csv(r'graphs\cumulative avverkning.csv')
In [99]:
cumulative_clear= cumulative_clear.fillna(0)
In [100]:
cumulative_clear.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 65 entries, 0 to 64
Data columns (total 9 columns):
 #   Column                                                                  Non-Null Count  Dtype  
---  ------                                                                  --------------  -----  
 0   Unnamed: 0                                                              65 non-null     int64  
 1   Existing kalhygge 1000 ha                                               65 non-null     float64
 2   yearly clearcut 1000ha                                                  65 non-null     float64
 3   Clear-cut Area, cumulative                                              65 non-null     float64
 4   Total Productive Forest                                                 65 non-null     int64  
 5   Forests not yet clear-cut in the last 70 years*                         65 non-null     float64
 6   Protected Productive Forest nside National Parks and Nature Reserves    65 non-null     int64  
 7   Protected Improductive Forest nside National Parks and Nature Reserves  65 non-null     int64  
 8   Voluntary Setasides**                                                   65 non-null     float64
dtypes: float64(5), int64(4)
memory usage: 4.7 KB
In [6]:
cumulative_clear.head()
Out[6]:
Unnamed: 0 Existing kalhygge 1000 ha yearly clearcut 1000ha Clear-cut Area, cumulative Total Productive Forest Forests not yet clear-cut in the last 70 years* Protected Productive Forest nside National Parks and Nature Reserves Protected Improductive Forest nside National Parks and Nature Reserves Voluntary Setasides**
0 1950 1550.0 3104.0 4654.0 22125 17471.0 100 100 0.0
1 1955 0.0 237.5 4891.5 21049 16157.5 100 100 0.0
2 1956 0.0 230.1 5121.6 21051 15929.4 100 100 0.0
3 1957 0.0 231.1 5352.7 21239 15886.3 100 100 0.0
4 1958 0.0 237.1 5589.8 21355 15765.2 100 100 0.0
In [101]:
cumulative_clear= cumulative_clear.rename(columns= {'Unnamed: 0': 'Year'})
In [8]:
# cumulative_clear= cumulative_clear.rename(columns= {'Cumulative area': 'Clear-cut Area, cumulative', 'total produktiv forest': 'Total Productive Forest', ''})
In [102]:
import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Scatter(x= cumulative_clear['Year'], y=cumulative_clear['Total Productive Forest'], name= 'Total Productive Forest', fill='tozeroy', fillcolor= 'rgb(192,192,192)', mode= 'none', legendrank=5)) # fill to trace0 y
fig.add_trace(go.Scatter(x= cumulative_clear['Year'], y=cumulative_clear['Forests not yet clear-cut in the last 70 years*'], name= 'Natural Forest*', fill='tozeroy', fillcolor='rgb(0,150,20 )', mode= 'none', legendrank=4)) # fill down to 
fig.add_trace(go.Scatter(x= cumulative_clear['Year'], y=cumulative_clear['Protected Productive Forest nside National Parks and Nature Reserves'], name= 'Protected Productive Forest', fill='tozeroy', fillcolor= 'lime', mode= 'none', legendrank=3)) # fill to trace0 y
fig.add_trace(go.Scatter(x= cumulative_clear['Year'], y=cumulative_clear['Protected Improductive Forest nside National Parks and Nature Reserves'], name= 'Protected Improductive Forest', fill='tonexty', mode= 'none', legendrank=2)) # fill to trace0 y
fig.add_trace(go.Scatter(x= cumulative_clear['Year'], y=cumulative_clear['Voluntary Setasides**'], fill='tonexty', name= 'Voluntary set-asides**',  mode= 'none', legendrank=1)) # fill to trace0 y
fig.update_layout(height=600, width= 800,  
#                   legend=dict(
#         x=1.1,
#         y=0.9), 
                  paper_bgcolor='rgba(0,0,0,0)',
    plot_bgcolor='rgba(0,0,0,0)', 
                  title= '<b>From Natural Forests to Intensive Exploitation', title_x=0.5, title_y= 0.9,
                 yaxis_title="Surface (1000 hectares)")

fig.add_annotation(x=1960, y=8000,
            text="Natural Forest",
            showarrow=False,
                 font=dict(
#             family="Courier New, monospace",
            size=16,
            color="#ffffff"))

fig.add_annotation(x=1995, y=17000,
            text="Clear-cut and replanted",
            showarrow=False,
                 font=dict(
#             family="Courier New, monospace",
            size=16,
            color="black"))

fig.add_annotation(x=2009, y=500,
            text="Protected forests",
            showarrow=True,
                 font=dict(
#             family="Courier New, monospace",
            size=14,
            color="black"))
fig.update_traces(showlegend=False)

fig.write_html("pics/natural_intensive.html")
fig.write_image("pics/fig1.png")
fig.show()

Add a dynamic line showing the growth of exports during this period?¶

Surfaces that are annualy cut: clear cut, thinning, selective cutting¶

  • dynamic line, or bars on top of each other: first clear cut, then thinning, etc
In [493]:
pip install -U kaleido
Collecting kaleidoNote: you may need to restart the kernel to use updated packages.
  Downloading kaleido-0.2.1-py2.py3-none-win_amd64.whl (65.9 MB)
     ---------------------------------------- 65.9/65.9 MB 2.3 MB/s eta 0:00:00
Installing collected packages: kaleido
Successfully installed kaleido-0.2.1

In [ ]:
 

On top of the clear-cutting, an additional 600k hectares is being thinned or otherwise partially felled¶

A graph with annual surface that is clearcut, plus Gallring plus röjning: total is the loss of habitat yearly¶

dybnamic line chart

a graph with Volume and surface cut annualy: percent of the annual growth¶

In [ ]:
# var 1 
Dual axis chart:
    - bar chart for annual volumes, split into Annual Growth and annual harvest, maybe add natural losses?
    - % utilization rate= Fellings out of Net annual increment
In [103]:
utilisation= pd.read_csv(r'graphs\growth versus avgång volym.csv')
In [104]:
utilisation.head()
Out[104]:
Year Total fellings millions m3 Clear-cut fellings millions m3 Thinning fellings millions m3 Other fellings millions m3 Avasatt tillväxt Total Annual Growth millions m3 Net Annual Growth millions m3 Total Annual Removals millions m3 Removals of Living Trees millions m3 Natural decay millions m3 Utilisation Rate Removals/Total growth
0 1956 50.5 16.3 25.4 8.7 NaN 76.1 72.1 52.3 48.4 4.0 67.1 66.4
1 1957 51.2 17.4 25.0 8.8 NaN 76.6 72.6 53.0 49.1 4.0 67.6 66.8
2 1958 53.3 18.8 25.7 8.9 NaN 78.2 74.2 55.2 51.2 4.0 69.0 68.2
3 1959 55.8 20.8 26.2 8.8 NaN 78.8 74.8 57.5 53.6 4.0 71.7 70.8
4 1960 55.5 21.4 25.7 8.4 NaN 77.9 73.9 57.3 53.3 4.0 72.1 71.2

add a stacked bar in the bottom to show natural decay¶

whenever natural factors intervene, such as storms or insects infestations such as 2019 onwards (due to the severe draught in 2018), the utilisation rate increases corresponsingly.

why? because trees that are killed by these natural causes are harvested immediately, ON TOP of the regular annual harvest.

  1. Shouldn't the annual harvest be adjusted in these years, thus ensuring that the wood harvesting is indeed sustainable? in the years with stomrs or other natural hardships, a rule should be in place to harvest less with the estimated amount of wood already killed by the natural causes.
  2. In natural forest systems, events such as draught, fire, infestations do have a role and may in the long terms contribute to biodiversity. some species thrive on the remains of a wood fire, and dead wood after a draight constitute homes for many species.
  3. the true economical reason is that these events may slow the 'growth' process and thus slow down productivity. It is considered more efficient to remove any unproductive trees and quickly plant new ones instead.
In [105]:
import plotly.graph_objects as go
from plotly.subplots import make_subplots


fig = go.Figure()
fig = make_subplots(specs=[[{"secondary_y": True}]])

fig.add_trace(go.Bar(marker=dict(color='rgb(150,150,150)'),
                     x=utilisation['Year'], 
                     y= utilisation['Total Annual Growth millions m3'], 
                     name="Annual Growth (mil. m3)"),
             
                     secondary_y=False 
            
             )
# fig. update_traces(marker_color='rgb(182,229,159)')
fig.add_trace(go.Line(marker=dict(color='rgb(200,45, 35)'),
    x=utilisation['Year'], y=utilisation['Utilisation Rate'], name="Utilization Rate %", line={'dash': 'solid'}),
    secondary_y=True)
# fig. update_traces(marker_color='rgb(176,224, 230)')

fig.update_yaxes(title_text="<b>Annual Growth (millions m3)", secondary_y=False, range= [50,135] )
fig.update_xaxes( title_text="Year"
#                  ,  dtick= 'M60', tick0='1961'
                )
fig.update_yaxes(title_text="<b>Utilization Rate % *", secondary_y=True, range= [40,100])

fig.update_layout(height=500, width= 1000,legend=dict(
        x=1.1,
        y=0.8), paper_bgcolor='rgba(0,0,0,0)',
    plot_bgcolor='rgba(0,0,0,0)', title= '<b>Although the forest capacity varies, Utilisation is always on the high', title_x=0.4)

fig.write_image("pics/fig2.png")
fig.show()
C:\Users\mihai\AppData\Roaming\Python\Python39\site-packages\plotly\graph_objs\_deprecations.py:378: DeprecationWarning:

plotly.graph_objs.Line is deprecated.
Please replace it with one of the following more specific types
  - plotly.graph_objs.scatter.Line
  - plotly.graph_objs.layout.shape.Line
  - etc.


  • utilization rate= annual wood removals (brutto) - annual growth

annual growth is computed by estimating the living trees mass in the current year compared to last year's

In [106]:
import plotly.graph_objects as go
from plotly.subplots import make_subplots


fig = go.Figure()
fig = make_subplots(specs=[[{"secondary_y": True}]])

fig.add_trace(go.Bar(marker=dict(color='rgb(150,150,150)'),
                     x=utilisation['Year'], 
                     y= utilisation['Total fellings millions m3'], 
                     name="Annual Fellings (mil. m3)"),
             
                     secondary_y=False 
            
             )
# fig. update_traces(marker_color='rgb(182,229,159)')
fig.add_trace(go.Line(marker=dict(color='rgb(200,45, 35)'),
    x=utilisation['Year'], y=utilisation['Utilisation Rate'], name="Utilization Rate %", line={'dash': 'solid'}),
    secondary_y=True)
# fig. update_traces(marker_color='rgb(176,224, 230)')

fig.update_yaxes(title_text="<b>Annual Fellings (millions m3)", secondary_y=False, range= [50,100] )
fig.update_xaxes( title_text="Year"
#                  ,  dtick= 'M60', tick0='1961'
                )
fig.update_yaxes(title_text="<b>Utilization Rate % *", secondary_y=True, range= [50,100])

fig.update_layout(height=500, width= 1000,legend=dict(
        x=1.1,
        y=0.8), paper_bgcolor='rgba(0,0,0,0)',
    plot_bgcolor='rgba(0,0,0,0)', title= '<b>Although the wood supply varies, Utilisation rate is always on the high', title_x=0.4)

why is the wood growth so much 'btter' now?¶

  • densifying - one the natural dynamic when new trees are growing is that they grow very dense, and then naturally thin out with time (how much time). # a graph showing the densifying of the swedish forest
  • Groeth is fast in the first 40-60 years, then it slows down.
  • A lot of wood mass is obtained by mechanically thinning out the young forest, instead of waiting for the natural thinning.
  • a lot of the marginal areas between forest and ther land, plus formerly improductive land (myre, moores, stony areas, wetlands) has been reclaimed for for forestry. although at first it may appear as a good thing, those patches were offering life support for various species.
  • replanting of formelry cut areas
  • use of other lands for forestry (also including vulnerable env that are important for biodiversity such as moores, myres)
  • land reclaiming by removing water inside forest land (ditching for example). this is one important negative factor for threatened forest-living species
  • tight planting
  • keeping the age of the forest younger and younger, because groeth is faster in the first 60 years or so
  • tree selection

Before the 1950s, Sweden exploited its forests hard, however in an extensive system, ,which means that forests were 'thinned' out by removing valuable trees, without planting anything in place. As a consequence, in the 1950s large areas remained semi-deforrested (one aproximation is 4.5 million hectares), and the living wood biomass was relatively low in comparison to today.¶

However, since little work was done to burn the remaining wood or replant, while unvaluable wood remained in place, the forest still displayed one of the premises for high biodiversity, which is:

  • undisturbed soil
  • a lot of dead wood that provides food and shelter for various species
  • very old trees which were deemed 'unproductive' were not removed ## in parallel, it was a common practice to let animal graze in the forests, mainly on the edges, which is shown to help a large number of species which thrive in a semi open lansdcape that contain both trees and pastures. Grazing animals would limit the new growth of small trees, keeping the landscape open. ## Forest grazing was forbidden in order to increase the forest production. As a consequence now:
  • a lot of flora are listed as endengered because of the loss of habitat
  • animals are enclosed in grazing areas
  • hay harvesting is done mechanically, which further affects the flora. animals usually select their grazing and many perennials species are not eaten, but continue to thrive and sustain other species, specially pollinators.

. woods, in particular young replanted woods, are growing very thick and dense, thus forest are much darker and thighter than before. many species thus are becoming threatened by this particular trend.

    • Today, 691 plants species (seeding plants) which usually live in and around the forest are listed on the endangered list in Sweden. On top, 268 types of mosses and 300 types of lichens are endangered as well.

In the 1950, the modern intensive exploitation takes over. This system means:

  • clear cutting patches of forests (variable size) and then immediately planting new desirable tree species instead. All wood is removed and used, remainings are burned. Periodically the new forest patches are thinned out and only rapid growing trees of desired quality are left to grow. the dramatic increase since then to in the volume of living wood is due to:

  • Most often only species that grow fast and offer production value are allowed to grow, while the rest are thinned out.

  • increasing the area used for forestry (somtimes by agressively ditching moores) and expanding into less productive land

  • systematically replacing old forests with young, very tightly planted forest. A certain percentage of the old forest is being clear cut every year and replaced with new seedlings. Young trees have a higher growth rate (at least in the first 40 years or so) and then, despite growing wood mass stored, their growth rate decreases. In the eyes of a profit centered forest owner, this is an undesirable trait and as a consequence, old trees must be cut out and replaced with new ones to ensure maximum profit in time.

This results in the today's state of the forest:

  • the age of the forests has contantly decreased
  • this shows an average, which means there are large areas where old forests havve dissapeared completly

A graphic showing the densification of forest today (trees per ha), volume per ha, and decrease of bottom vegetation due to lack of sun (mostly but not limited to)¶

the 70s: hard exploitation with huge clear cut forest areas give rise to public protests about the environmental effects and in time this results in an adjustment of the utilisation rate (less wood is harvested compared to what grows yearly)¶

the 2000s : a positive trend is showing, where the utilisation rate lies well below the natural growth.¶

However, in the last decade a worrisome trend is rising, where the natural growth is slowing down, accompanied by high natural decays caused by storms and insect attacks, while the felling is rapidly rising and utilisation rate is close to 100%.¶

Apart from the environmental concerns, It is imperative that forests owners adjust to the natural conditions and lower their wood removal when the natural conditions are harsher.¶

In [96]:
utilisation.head()
Out[96]:
Year Total fellings millions m3 Clear-cut fellings millions m3 Thinning fellings millions m3 Other fellings millions m3 Avasatt tillväxt Total Annual Growth millions m3 Net Annual Growth millions m3 Total Annual Removals millions m3 Removals of Living Trees millions m3 Natural decay millions m3 Utilisation Rate Removals/Total growth
0 1956 50.5 16.3 25.4 8.7 NaN 76.1 72.1 52.3 48.4 4.0 67.1 66.4
1 1957 51.2 17.4 25.0 8.8 NaN 76.6 72.6 53.0 49.1 4.0 67.6 66.8
2 1958 53.3 18.8 25.7 8.9 NaN 78.2 74.2 55.2 51.2 4.0 69.0 68.2
3 1959 55.8 20.8 26.2 8.8 NaN 78.8 74.8 57.5 53.6 4.0 71.7 70.8
4 1960 55.5 21.4 25.7 8.4 NaN 77.9 73.9 57.3 53.3 4.0 72.1 71.2
In [107]:
fig2 = go.Figure()

fig2.add_trace(go.Scatter(x= utilisation['Year'], y=utilisation['Total Annual Growth millions m3'], name= 'Total Annual Growth', fill='tozeroy', fillcolor= 'rgb(178,217,154)', mode= 'none', legendrank=1)) # fill to trace0 y
fig2.add_trace(go.Scatter(x= utilisation['Year'], y=utilisation['Total Annual Removals millions m3'], name= 'Total Annual Removals (including Natural causes)', fill='tozeroy', fillcolor= 'rgb(193, 170,5)', mode= 'none', legendrank=2)) # fill down to 

fig2.add_trace(go.Scatter(x= utilisation['Year'], y=utilisation['Natural decay millions m3'], name= 'Natural Decay', fill='tozeroy', fillcolor= 'rgb(193, 193,193)', mode= 'none', legendrank=3)) # fill down to 

fig2.update_layout(height=600, width= 1000,  
#                    legend=dict(
#         x=1.1,
#         y=0.9), 
#                    paper_bgcolor='rgba(0,0,0,0)',
#     plot_bgcolor='rgba(0,0,0,0)', 
                  title= '<b>Forest Growth versus Utilisation (wood volume)', title_x=0.1, title_y= 0.9,
                 yaxis_title="Million cubic metres", xaxis_title="Year")
fig2.add_annotation(x=2016, y=5,
            text="Natural Decay",
            showarrow=False,
                 font=dict(
#             family="Courier New, monospace",
            size=12,
            color="black"))

i believe you need to add Natural decay to bruttoavverkning¶

https://iskogen.se/skog-eu-glesbygd/overavverkning-som-forsvann/

take bruttoavverkning fom here: https://pxweb.skogsstyrelsen.se/pxweb/sv/Skogsstyrelsens%20statistikdatabas/Skogsstyrelsens%20statistikdatabas__Avverkning/JO0312_01.px/table/tableViewLayout2/

take natual decay frm here: https://skogsstatistik.slu.se/pxweb/sv/OffStat/OffStat__AllMark__Tillvaxt/AM_Tillvaxt_avverkning_fig.px/table/tableViewLayout2/

It's worrisome that in our present day, the total removals of wood are at a critical level reaching the total growth in the Swedish forests. This only happened in the bonanza era of the 1970s, where they could blame it on lack of knowledge. Today we have the highest volume of wood removals of all times, which happens not only at the cost of lost CO2 storage, but also with a catastrophic consequences for the environment.¶

In the same time, we are witnessing a slowdown of the natural growth, a dramatic increase in the natural decay due to storms and insect infestations.

animation? an example with multiple lines here:¶

https://towardsdatascience.com/line-chart-animation-with-plotly-on-jupyter-e19c738dc882

In [ ]:
 
In [ ]:
 

Age changes¶

In [ ]:
 

an estimation of natural remaining forests in Sweden?¶

an estimation of old forests remaining. very possible that old forest are close or closer to what a natural forest is¶

In [ ]:
 

If I share my notebook in github, will it display all graphs including interactive plotly.¶

do i need a virtualenv, etc

In [ ]:
 
In [155]:
import chart_studio
import chart_studio.plotly as py
import chart_studio.tools as tls
import plotly.graph_objects as go
from chart_studio.grid_objs import Column, Grid

from datetime import datetime as dt
In [98]:
cumulative_clear.head()
Out[98]:
Year Existing kalhygge 1000 ha yearly clearcut 1000ha Clear-cut Area, cumulative Total Productive Forest Forests not yet clear-cut in the last 70 years* Protected Productive Forest nside National Parks and Nature Reserves Protected Improductive Forest nside National Parks and Nature Reserves Voluntary Setasides**
0 1950 1,550.0 3,104.0 4,654.0 22125 17,471.0 100 100 0.0
1 1955 0.0 237.5 4,891.5 21049 16,157.5 100 100 0.0
2 1956 0.0 230.1 5,121.6 21051 15,929.4 100 100 0.0
3 1957 0.0 231.1 5,352.7 21239 15,886.3 100 100 0.0
4 1958 0.0 237.1 5,589.8 21355 15,765.2 100 100 0.0

Animated heatmap?¶

In [468]:
import chart_studio
import chart_studio.plotly as py
import chart_studio.tools as tls
import plotly.graph_objects as go
from chart_studio.grid_objs import Column, Grid

import time
import numpy as np
from scipy.stats import multivariate_normal as Nd
In [101]:
import pandas as pd
test_heatmap= pd.read_csv(r'graphs\age structure test heatmap.csv')
In [102]:
test_heatmap.head()
Out[102]:
Year County Unnamed: 2 Region Clear-cut 3-10 years old 11 - 20 years old 21 - 30 years old 31 - 40 years old 41 - 60 years old 61 - 80 years old 81 - 100 years old 101 - 120 years old 121 - 140 years old 141+ years old
0 2005 24 Västerbottens län 1 Norra Norrland 132.4 244.2 317.3 339.2 217.5 477.3 325.8 277.6 251.2 262.9 342.6
1 2005 25 Norrbottens län 1 Norra Norrland 112.4 250.8 244.6 350.2 336.4 631.8 442.7 359.5 301.2 321.1 562.5
2 2005 21 Gävleborgs län 2 Södra Norrland 66.1 153.6 152.7 187.5 177.2 250.3 144.9 148.6 128.7 71.7 48.3
3 2005 22 Västernorrlands län 2 Södra Norrland 81.4 144.4 201.3 227.7 193.4 220.4 157.4 162.6 155.7 111.4 68.0
4 2005 23 Jämtlands län 2 Södra Norrland 109.8 226.4 298.7 256.9 214.6 255.7 132.4 197.3 301.6 319.4 401.9
In [103]:
N = len(test_heatmap['Year'].unique())
# heatmaps = [np.random.random((20, 20)) for i in range(N)]
N
Out[103]:
15
In [105]:
heatmaps = [test_heatmap[test_heatmap['Year']==i].iloc[:, 4:] for i in test_heatmap['Year'].unique()]
In [106]:
type(heatmaps)
Out[106]:
list
In [107]:
for i in heatmaps:
    print(i.info())
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 0 to 20
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 21 to 41
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 42 to 62
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 63 to 83
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 84 to 104
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 105 to 125
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 126 to 146
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 147 to 167
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 168 to 188
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 189 to 209
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 210 to 230
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 231 to 251
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 252 to 272
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 273 to 293
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
<class 'pandas.core.frame.DataFrame'>
Int64Index: 21 entries, 294 to 314
Data columns (total 11 columns):
 #   Column               Non-Null Count  Dtype  
---  ------               --------------  -----  
 0   Clear-cut            21 non-null     float64
 1   3-10 years old       21 non-null     float64
 2   11 - 20 years old    21 non-null     float64
 3   21 - 30 years old    21 non-null     float64
 4   31 - 40 years old    21 non-null     float64
 5   41 - 60 years old    21 non-null     float64
 6   61 - 80 years old    21 non-null     float64
 7   81 - 100 years old   21 non-null     float64
 8   101 - 120 years old  21 non-null     float64
 9   121 - 140 years old  21 non-null     float64
 10  141+ years old       21 non-null     float64
dtypes: float64(11)
memory usage: 2.0 KB
None
In [ ]:
 
In [ ]:
 
In [108]:
import plotly.graph_objects as go
import numpy as np

fig = go.Figure(data=go.Heatmap(z=heatmaps[0]),
               frames=[go.Frame(data=go.Heatmap(z=heatmaps[i])) for i in range(N)])
fig.update_layout(
        updatemenus=[
        dict(type="buttons", visible=True,
        buttons=[dict(label="Play", method="animate", args=[None])]
            )])
fig.show()

to fix:¶

  • add labels for region (y axis) and year (x axis)
  • chnage colors

Alternative:¶

animated histogram

In [5]:
import pandas as pd
test_heatmap= pd.read_csv(r'graphs\age structure test heatmap.csv')
In [30]:
age_structure_protected_versus_unprot = pd.read_csv(r'graphs\age structure protected versus unprotected all country.csv')
In [31]:
age_structure_protected_versus_unprot.head()
Out[31]:
Year Average age Type of Forest Clear-cut Percent 3-10 years Percent 11 - 20 years Percent 21 - 30 years Percent 31 - 40 years Percent 41 - 60 years Percent 61 - 80 years Percent 81 - 100 years Percent 101 - 120 years Percent 121 - 140 years Percent 141+ years Percent
0 2005 56.8 Unprotected 4.4 8.5 10.3 11.3 10.4 15.8 10.9 9.3 7.6 6.1 5.5
1 2006 56.7 Unprotected 4.3 8.5 10.3 11.4 10.4 16.2 10.8 9.1 7.5 6.2 5.5
2 2007 56.6 Unprotected 4.3 8.5 10.2 11.3 10.5 16.5 10.6 8.9 7.5 6.1 5.5
3 2008 56.8 Unprotected 4.2 8.4 9.9 11.4 10.6 17.0 10.5 8.9 7.4 5.9 5.9
4 2009 56.8 Unprotected 4.1 8.5 9.7 11.3 10.8 17.5 10.6 8.7 7.1 5.8 6.0
In [25]:
age_structure_protected_versus_unprot.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 30 entries, 0 to 29
Data columns (total 14 columns):
 #   Column                    Non-Null Count  Dtype  
---  ------                    --------------  -----  
 0   Year                      30 non-null     int64  
 1   Average age               30 non-null     float64
 2   Type of Forest            30 non-null     object 
 3   Clear-cut Percent         30 non-null     float64
 4   3-10 years  Percent       30 non-null     float64
 5   11 - 20 years  Percent    30 non-null     float64
 6   21 - 30 years  Percent    30 non-null     float64
 7   31 - 40 years  Percent    30 non-null     float64
 8   41 - 60 years  Percent    30 non-null     float64
 9   61 - 80 years  Percent    30 non-null     float64
 10  81 - 100 years  Percent   30 non-null     float64
 11  101 - 120 years  Percent  30 non-null     float64
 12  121 - 140 years  Percent  30 non-null     float64
 13  141+ years  Percent       30 non-null     float64
dtypes: float64(12), int64(1), object(1)
memory usage: 3.4+ KB
In [27]:
bar_animated_prot_unprot2=  pd.melt(age_structure_protected_versus_unprot, id_vars= ['Year', 'Type of Forest', 'Average age'], value_vars= age_structure_protected_versus_unprot.columns[3:], var_name= 'Age Category Percent', value_name= 'Percent of Surface' )
In [28]:
bar_animated_prot_unprot2.head()
Out[28]:
Year Type of Forest Average age Age Category Percent Percent of Surface
0 2005 Unprotected 56.8 Clear-cut Percent 4.4
1 2006 Unprotected 56.7 Clear-cut Percent 4.3
2 2007 Unprotected 56.6 Clear-cut Percent 4.3
3 2008 Unprotected 56.8 Clear-cut Percent 4.2
4 2009 Unprotected 56.8 Clear-cut Percent 4.1
In [32]:
bar_animated_prot_unprot2['Age Category Percent'].value_counts()
Out[32]:
Clear-cut Percent           30
3-10 years  Percent         30
11 - 20 years  Percent      30
21 - 30 years  Percent      30
31 - 40 years  Percent      30
41 - 60 years  Percent      30
61 - 80 years  Percent      30
81 - 100 years  Percent     30
101 - 120 years  Percent    30
121 - 140 years  Percent    30
141+ years  Percent         30
Name: Age Category Percent, dtype: int64
In [34]:
bar_animated_prot_unprot2
Out[34]:
Year Type of Forest Average age Age Category Percent Percent of Surface
0 2005 Unprotected 56.8 Clear-cut Percent 4.4
1 2006 Unprotected 56.7 Clear-cut Percent 4.3
2 2007 Unprotected 56.6 Clear-cut Percent 4.3
3 2008 Unprotected 56.8 Clear-cut Percent 4.2
4 2009 Unprotected 56.8 Clear-cut Percent 4.1
... ... ... ... ... ...
325 2015 Protected 118.3 141+ years Percent 47.7
326 2016 Protected 119.1 141+ years Percent 48.9
327 2017 Protected 119.3 141+ years Percent 49.3
328 2018 Protected 119.2 141+ years Percent 48.9
329 2019 Protected 119.3 141+ years Percent 49.4

330 rows × 5 columns

In [ ]:
 
In [368]:
bar_animated=  pd.melt(test_heatmap, id_vars= ['Year', 'Region'], value_vars= test_heatmap.columns[4:], var_name= 'Age Category', value_name= 'Surface (1000 hectares)' )
In [117]:
# melt all categories under 'Age category', and groupby Region
In [369]:
bar_animated=  pd.melt(test_heatmap, id_vars= ['Year', 'Region'], value_vars= test_heatmap.columns[4:], var_name= 'Age Category', value_name= 'Surface (1000 hectares)' )
In [370]:
bar_animated
Out[370]:
Year Region Age Category Surface (1000 hectares)
0 2005 Norra Norrland Clear-cut 132.4
1 2005 Norra Norrland Clear-cut 112.4
2 2005 Södra Norrland Clear-cut 66.1
3 2005 Södra Norrland Clear-cut 81.4
4 2005 Södra Norrland Clear-cut 109.8
5 2005 Svealand Clear-cut 20.8
6 2005 Svealand Clear-cut 21.2
7 2005 Svealand Clear-cut 15.7
8 2005 Svealand Clear-cut 21.1
9 2005 Svealand Clear-cut 59.8
10 2005 Svealand Clear-cut 30.5
11 2005 Svealand Clear-cut 16.0
12 2005 Svealand Clear-cut 92.0
13 2005 Götaland Clear-cut 30.1
14 2005 Götaland Clear-cut 42.7
15 2005 Götaland Clear-cut 30.4
16 2005 Götaland Clear-cut 3.1
17 2005 Götaland Clear-cut 7.6
18 2005 Götaland Clear-cut 22.5
19 2005 Götaland Clear-cut 15.2
20 2005 Götaland Clear-cut 53.7
21 2006 Norra Norrland Clear-cut 119.4
22 2006 Norra Norrland Clear-cut 106.8
23 2006 Södra Norrland Clear-cut 64.6
24 2006 Södra Norrland Clear-cut 75.8
25 2006 Södra Norrland Clear-cut 107.3
26 2006 Svealand Clear-cut 20.8
27 2006 Svealand Clear-cut 17.8
28 2006 Svealand Clear-cut 16.6
29 2006 Svealand Clear-cut 23.3
30 2006 Svealand Clear-cut 57.7
31 2006 Svealand Clear-cut 29.7
32 2006 Svealand Clear-cut 16.0
33 2006 Svealand Clear-cut 90.1
34 2006 Götaland Clear-cut 32.1
35 2006 Götaland Clear-cut 52.8
36 2006 Götaland Clear-cut 28.7
37 2006 Götaland Clear-cut 3.4
38 2006 Götaland Clear-cut 8.3
39 2006 Götaland Clear-cut 21.8
40 2006 Götaland Clear-cut 13.8
41 2006 Götaland Clear-cut 57.8
42 2007 Norra Norrland Clear-cut 123.3
43 2007 Norra Norrland Clear-cut 100.6
44 2007 Södra Norrland Clear-cut 61.9
45 2007 Södra Norrland Clear-cut 82.4
46 2007 Södra Norrland Clear-cut 95.6
47 2007 Svealand Clear-cut 19.8
48 2007 Svealand Clear-cut 19.9
49 2007 Svealand Clear-cut 17.6
50 2007 Svealand Clear-cut 24.8
51 2007 Svealand Clear-cut 58.1
52 2007 Svealand Clear-cut 22.1
53 2007 Svealand Clear-cut 16.8
54 2007 Svealand Clear-cut 83.2
55 2007 Götaland Clear-cut 39.6
56 2007 Götaland Clear-cut 59.6
57 2007 Götaland Clear-cut 26.9
58 2007 Götaland Clear-cut 5.0
59 2007 Götaland Clear-cut 7.1
60 2007 Götaland Clear-cut 19.8
61 2007 Götaland Clear-cut 13.3
62 2007 Götaland Clear-cut 56.8
63 2008 Norra Norrland Clear-cut 119.1
64 2008 Norra Norrland Clear-cut 100.6
65 2008 Södra Norrland Clear-cut 56.3
66 2008 Södra Norrland Clear-cut 79.6
67 2008 Södra Norrland Clear-cut 90.3
68 2008 Svealand Clear-cut 17.3
69 2008 Svealand Clear-cut 20.0
70 2008 Svealand Clear-cut 21.2
71 2008 Svealand Clear-cut 23.8
72 2008 Svealand Clear-cut 56.1
73 2008 Svealand Clear-cut 24.0
74 2008 Svealand Clear-cut 16.8
75 2008 Svealand Clear-cut 83.4
76 2008 Götaland Clear-cut 37.1
77 2008 Götaland Clear-cut 53.9
78 2008 Götaland Clear-cut 27.1
79 2008 Götaland Clear-cut 6.8
80 2008 Götaland Clear-cut 8.0
81 2008 Götaland Clear-cut 23.3
82 2008 Götaland Clear-cut 11.7
83 2008 Götaland Clear-cut 56.1
84 2009 Norra Norrland Clear-cut 111.1
85 2009 Norra Norrland Clear-cut 91.9
86 2009 Södra Norrland Clear-cut 56.3
87 2009 Södra Norrland Clear-cut 88.4
88 2009 Södra Norrland Clear-cut 89.2
89 2009 Svealand Clear-cut 17.1
90 2009 Svealand Clear-cut 20.0
91 2009 Svealand Clear-cut 18.9
92 2009 Svealand Clear-cut 24.2
93 2009 Svealand Clear-cut 53.8
94 2009 Svealand Clear-cut 24.2
95 2009 Svealand Clear-cut 17.3
96 2009 Svealand Clear-cut 82.4
97 2009 Götaland Clear-cut 34.4
98 2009 Götaland Clear-cut 50.5
99 2009 Götaland Clear-cut 30.0
100 2009 Götaland Clear-cut 8.3
101 2009 Götaland Clear-cut 4.8
102 2009 Götaland Clear-cut 21.0
103 2009 Götaland Clear-cut 9.8
104 2009 Götaland Clear-cut 56.4
105 2010 Norra Norrland Clear-cut 113.3
106 2010 Norra Norrland Clear-cut 97.3
107 2010 Södra Norrland Clear-cut 59.5
108 2010 Södra Norrland Clear-cut 93.1
109 2010 Södra Norrland Clear-cut 87.4
110 2010 Svealand Clear-cut 17.8
111 2010 Svealand Clear-cut 20.4
112 2010 Svealand Clear-cut 16.0
113 2010 Svealand Clear-cut 29.7
114 2010 Svealand Clear-cut 52.9
115 2010 Svealand Clear-cut 24.5
116 2010 Svealand Clear-cut 20.4
117 2010 Svealand Clear-cut 78.8
118 2010 Götaland Clear-cut 33.2
119 2010 Götaland Clear-cut 38.3
120 2010 Götaland Clear-cut 34.4
121 2010 Götaland Clear-cut 9.9
122 2010 Götaland Clear-cut 5.2
123 2010 Götaland Clear-cut 22.5
124 2010 Götaland Clear-cut 9.0
125 2010 Götaland Clear-cut 55.5
126 2011 Norra Norrland Clear-cut 107.5
127 2011 Norra Norrland Clear-cut 86.7
128 2011 Södra Norrland Clear-cut 67.4
129 2011 Södra Norrland Clear-cut 103.9
130 2011 Södra Norrland Clear-cut 89.7
131 2011 Svealand Clear-cut 17.7
132 2011 Svealand Clear-cut 22.6
133 2011 Svealand Clear-cut 15.5
134 2011 Svealand Clear-cut 26.0
135 2011 Svealand Clear-cut 47.8
136 2011 Svealand Clear-cut 25.2
137 2011 Svealand Clear-cut 19.3
138 2011 Svealand Clear-cut 77.0
139 2011 Götaland Clear-cut 31.6
140 2011 Götaland Clear-cut 30.6
141 2011 Götaland Clear-cut 35.7
142 2011 Götaland Clear-cut 9.8
143 2011 Götaland Clear-cut 4.5
144 2011 Götaland Clear-cut 22.1
145 2011 Götaland Clear-cut 10.0
146 2011 Götaland Clear-cut 53.3
147 2012 Norra Norrland Clear-cut 109.8
148 2012 Norra Norrland Clear-cut 81.4
149 2012 Södra Norrland Clear-cut 69.4
150 2012 Södra Norrland Clear-cut 96.2
151 2012 Södra Norrland Clear-cut 91.4
152 2012 Svealand Clear-cut 18.1
153 2012 Svealand Clear-cut 23.4
154 2012 Svealand Clear-cut 15.3
155 2012 Svealand Clear-cut 21.7
156 2012 Svealand Clear-cut 47.3
157 2012 Svealand Clear-cut 29.4
158 2012 Svealand Clear-cut 20.8
159 2012 Svealand Clear-cut 81.8
160 2012 Götaland Clear-cut 30.0
161 2012 Götaland Clear-cut 25.7
162 2012 Götaland Clear-cut 37.8
163 2012 Götaland Clear-cut 10.2
164 2012 Götaland Clear-cut 6.1
165 2012 Götaland Clear-cut 24.7
166 2012 Götaland Clear-cut 10.1
167 2012 Götaland Clear-cut 57.3
168 2013 Norra Norrland Clear-cut 120.3
169 2013 Norra Norrland Clear-cut 89.7
170 2013 Södra Norrland Clear-cut 75.4
171 2013 Södra Norrland Clear-cut 102.8
172 2013 Södra Norrland Clear-cut 103.7
173 2013 Svealand Clear-cut 22.0
174 2013 Svealand Clear-cut 29.5
175 2013 Svealand Clear-cut 11.2
176 2013 Svealand Clear-cut 18.1
177 2013 Svealand Clear-cut 51.5
178 2013 Svealand Clear-cut 31.3
179 2013 Svealand Clear-cut 16.2
180 2013 Svealand Clear-cut 84.4
181 2013 Götaland Clear-cut 30.1
182 2013 Götaland Clear-cut 23.9
183 2013 Götaland Clear-cut 34.4
184 2013 Götaland Clear-cut 11.6
185 2013 Götaland Clear-cut 4.9
186 2013 Götaland Clear-cut 26.5
187 2013 Götaland Clear-cut 10.0
188 2013 Götaland Clear-cut 62.8
189 2014 Norra Norrland Clear-cut 120.6
190 2014 Norra Norrland Clear-cut 102.4
191 2014 Södra Norrland Clear-cut 79.3
192 2014 Södra Norrland Clear-cut 103.5
193 2014 Södra Norrland Clear-cut 106.6
194 2014 Svealand Clear-cut 22.1
195 2014 Svealand Clear-cut 29.3
196 2014 Svealand Clear-cut 10.9
197 2014 Svealand Clear-cut 19.7
198 2014 Svealand Clear-cut 53.3
199 2014 Svealand Clear-cut 27.5
200 2014 Svealand Clear-cut 20.0
201 2014 Svealand Clear-cut 84.4
202 2014 Götaland Clear-cut 26.4
203 2014 Götaland Clear-cut 25.5
204 2014 Götaland Clear-cut 33.8
205 2014 Götaland Clear-cut 11.2
206 2014 Götaland Clear-cut 6.5
207 2014 Götaland Clear-cut 27.5
208 2014 Götaland Clear-cut 10.5
209 2014 Götaland Clear-cut 62.2
210 2015 Norra Norrland Clear-cut 112.9
211 2015 Norra Norrland Clear-cut 100.0
212 2015 Södra Norrland Clear-cut 77.0
213 2015 Södra Norrland Clear-cut 100.1
214 2015 Södra Norrland Clear-cut 101.9
215 2015 Svealand Clear-cut 18.9
216 2015 Svealand Clear-cut 29.3
217 2015 Svealand Clear-cut 15.5
218 2015 Svealand Clear-cut 21.6
219 2015 Svealand Clear-cut 48.3
220 2015 Svealand Clear-cut 25.9
221 2015 Svealand Clear-cut 25.6
222 2015 Svealand Clear-cut 85.7
223 2015 Götaland Clear-cut 27.7
224 2015 Götaland Clear-cut 27.2
225 2015 Götaland Clear-cut 29.8
226 2015 Götaland Clear-cut 10.1
227 2015 Götaland Clear-cut 6.6
228 2015 Götaland Clear-cut 29.1
229 2015 Götaland Clear-cut 9.6
230 2015 Götaland Clear-cut 59.1
231 2016 Norra Norrland Clear-cut 115.4
232 2016 Norra Norrland Clear-cut 110.5
233 2016 Södra Norrland Clear-cut 68.9
234 2016 Södra Norrland Clear-cut 104.2
235 2016 Södra Norrland Clear-cut 94.4
236 2016 Svealand Clear-cut 18.4
237 2016 Svealand Clear-cut 30.0
238 2016 Svealand Clear-cut 14.6
239 2016 Svealand Clear-cut 24.8
240 2016 Svealand Clear-cut 50.7
241 2016 Svealand Clear-cut 30.9
242 2016 Svealand Clear-cut 25.3
243 2016 Svealand Clear-cut 86.6
244 2016 Götaland Clear-cut 26.7
245 2016 Götaland Clear-cut 27.1
246 2016 Götaland Clear-cut 26.7
247 2016 Götaland Clear-cut 9.1
248 2016 Götaland Clear-cut 6.8
249 2016 Götaland Clear-cut 32.3
250 2016 Götaland Clear-cut 11.1
251 2016 Götaland Clear-cut 63.4
252 2017 Norra Norrland Clear-cut 110.2
253 2017 Norra Norrland Clear-cut 107.1
254 2017 Södra Norrland Clear-cut 70.8
255 2017 Södra Norrland Clear-cut 97.9
256 2017 Södra Norrland Clear-cut 96.5
257 2017 Svealand Clear-cut 17.8
258 2017 Svealand Clear-cut 29.8
259 2017 Svealand Clear-cut 19.9
260 2017 Svealand Clear-cut 28.2
261 2017 Svealand Clear-cut 51.4
262 2017 Svealand Clear-cut 31.5
263 2017 Svealand Clear-cut 26.2
264 2017 Svealand Clear-cut 84.8
265 2017 Götaland Clear-cut 23.8
266 2017 Götaland Clear-cut 28.6
267 2017 Götaland Clear-cut 29.6
268 2017 Götaland Clear-cut 8.9
269 2017 Götaland Clear-cut 7.1
270 2017 Götaland Clear-cut 30.0
271 2017 Götaland Clear-cut 11.2
272 2017 Götaland Clear-cut 61.0
273 2018 Norra Norrland Clear-cut 98.6
274 2018 Norra Norrland Clear-cut 106.7
275 2018 Södra Norrland Clear-cut 78.1
276 2018 Södra Norrland Clear-cut 94.7
277 2018 Södra Norrland Clear-cut 92.9
278 2018 Svealand Clear-cut 13.9
279 2018 Svealand Clear-cut 24.6
280 2018 Svealand Clear-cut 22.7
281 2018 Svealand Clear-cut 30.5
282 2018 Svealand Clear-cut 48.2
283 2018 Svealand Clear-cut 28.3
284 2018 Svealand Clear-cut 26.3
285 2018 Svealand Clear-cut 81.9
286 2018 Götaland Clear-cut 22.9
287 2018 Götaland Clear-cut 29.3
288 2018 Götaland Clear-cut 34.6
289 2018 Götaland Clear-cut 6.0
290 2018 Götaland Clear-cut 8.1
291 2018 Götaland Clear-cut 29.8
292 2018 Götaland Clear-cut 13.7
293 2018 Götaland Clear-cut 59.5
294 2019 Norra Norrland Clear-cut 99.1
295 2019 Norra Norrland Clear-cut 115.7
296 2019 Södra Norrland Clear-cut 80.4
297 2019 Södra Norrland Clear-cut 95.8
298 2019 Södra Norrland Clear-cut 101.6
299 2019 Svealand Clear-cut 15.7
300 2019 Svealand Clear-cut 28.5
301 2019 Svealand Clear-cut 29.7
302 2019 Svealand Clear-cut 31.6
303 2019 Svealand Clear-cut 47.4
304 2019 Svealand Clear-cut 34.1
305 2019 Svealand Clear-cut 28.4
306 2019 Svealand Clear-cut 76.1
307 2019 Götaland Clear-cut 23.1
308 2019 Götaland Clear-cut 27.9
309 2019 Götaland Clear-cut 39.2
310 2019 Götaland Clear-cut 7.2
311 2019 Götaland Clear-cut 6.8
312 2019 Götaland Clear-cut 31.3
313 2019 Götaland Clear-cut 14.4
314 2019 Götaland Clear-cut 60.3
315 2005 Norra Norrland 3-10 years old 244.2
316 2005 Norra Norrland 3-10 years old 250.8
317 2005 Södra Norrland 3-10 years old 153.6
318 2005 Södra Norrland 3-10 years old 144.4
319 2005 Södra Norrland 3-10 years old 226.4
320 2005 Svealand 3-10 years old 18.7
321 2005 Svealand 3-10 years old 40.7
322 2005 Svealand 3-10 years old 22.6
323 2005 Svealand 3-10 years old 53.1
324 2005 Svealand 3-10 years old 115.5
325 2005 Svealand 3-10 years old 50.7
326 2005 Svealand 3-10 years old 37.4
327 2005 Svealand 3-10 years old 154.1
328 2005 Götaland 3-10 years old 60.0
329 2005 Götaland 3-10 years old 70.7
330 2005 Götaland 3-10 years old 50.0
331 2005 Götaland 3-10 years old 4.7
332 2005 Götaland 3-10 years old 18.4
333 2005 Götaland 3-10 years old 30.4
334 2005 Götaland 3-10 years old 28.4
335 2005 Götaland 3-10 years old 124.0
336 2006 Norra Norrland 3-10 years old 251.8
337 2006 Norra Norrland 3-10 years old 268.1
338 2006 Södra Norrland 3-10 years old 150.2
339 2006 Södra Norrland 3-10 years old 137.5
340 2006 Södra Norrland 3-10 years old 218.6
341 2006 Svealand 3-10 years old 20.0
342 2006 Svealand 3-10 years old 42.2
343 2006 Svealand 3-10 years old 20.9
344 2006 Svealand 3-10 years old 51.9
345 2006 Svealand 3-10 years old 114.6
346 2006 Svealand 3-10 years old 53.2
347 2006 Svealand 3-10 years old 38.7
348 2006 Svealand 3-10 years old 145.3
349 2006 Götaland 3-10 years old 65.1
350 2006 Götaland 3-10 years old 71.9
351 2006 Götaland 3-10 years old 57.8
352 2006 Götaland 3-10 years old 4.8
353 2006 Götaland 3-10 years old 19.1
354 2006 Götaland 3-10 years old 27.6
355 2006 Götaland 3-10 years old 27.1
356 2006 Götaland 3-10 years old 118.2
357 2007 Norra Norrland 3-10 years old 242.4
358 2007 Norra Norrland 3-10 years old 270.2
359 2007 Södra Norrland 3-10 years old 149.1
360 2007 Södra Norrland 3-10 years old 125.1
361 2007 Södra Norrland 3-10 years old 211.2
362 2007 Svealand 3-10 years old 22.1
363 2007 Svealand 3-10 years old 40.0
364 2007 Svealand 3-10 years old 19.8
365 2007 Svealand 3-10 years old 45.6
366 2007 Svealand 3-10 years old 114.0
367 2007 Svealand 3-10 years old 55.1
368 2007 Svealand 3-10 years old 33.4
369 2007 Svealand 3-10 years old 151.2
370 2007 Götaland 3-10 years old 68.9
371 2007 Götaland 3-10 years old 82.2
372 2007 Götaland 3-10 years old 57.8
373 2007 Götaland 3-10 years old 6.3
374 2007 Götaland 3-10 years old 20.1
375 2007 Götaland 3-10 years old 25.9
376 2007 Götaland 3-10 years old 32.4
377 2007 Götaland 3-10 years old 116.6
378 2008 Norra Norrland 3-10 years old 246.1
379 2008 Norra Norrland 3-10 years old 252.9
380 2008 Södra Norrland 3-10 years old 146.0
381 2008 Södra Norrland 3-10 years old 124.4
382 2008 Södra Norrland 3-10 years old 198.3
383 2008 Svealand 3-10 years old 17.7
384 2008 Svealand 3-10 years old 37.4
385 2008 Svealand 3-10 years old 16.7
386 2008 Svealand 3-10 years old 46.7
387 2008 Svealand 3-10 years old 113.5
388 2008 Svealand 3-10 years old 58.5
389 2008 Svealand 3-10 years old 35.2
390 2008 Svealand 3-10 years old 149.1
391 2008 Götaland 3-10 years old 70.1
392 2008 Götaland 3-10 years old 87.4
393 2008 Götaland 3-10 years old 59.6
394 2008 Götaland 3-10 years old 6.0
395 2008 Götaland 3-10 years old 21.8
396 2008 Götaland 3-10 years old 26.1
397 2008 Götaland 3-10 years old 29.9
398 2008 Götaland 3-10 years old 117.4
399 2009 Norra Norrland 3-10 years old 239.1
400 2009 Norra Norrland 3-10 years old 248.8
401 2009 Södra Norrland 3-10 years old 145.4
402 2009 Södra Norrland 3-10 years old 116.5
403 2009 Södra Norrland 3-10 years old 199.9
404 2009 Svealand 3-10 years old 17.5
405 2009 Svealand 3-10 years old 38.7
406 2009 Svealand 3-10 years old 18.0
407 2009 Svealand 3-10 years old 45.9
408 2009 Svealand 3-10 years old 114.6
409 2009 Svealand 3-10 years old 63.5
410 2009 Svealand 3-10 years old 31.1
411 2009 Svealand 3-10 years old 157.1
412 2009 Götaland 3-10 years old 66.5
413 2009 Götaland 3-10 years old 97.3
414 2009 Götaland 3-10 years old 62.1
415 2009 Götaland 3-10 years old 4.3
416 2009 Götaland 3-10 years old 21.5
417 2009 Götaland 3-10 years old 30.2
418 2009 Götaland 3-10 years old 33.0
419 2009 Götaland 3-10 years old 108.2
420 2010 Norra Norrland 3-10 years old 237.7
421 2010 Norra Norrland 3-10 years old 238.6
422 2010 Södra Norrland 3-10 years old 144.6
423 2010 Södra Norrland 3-10 years old 111.5
424 2010 Södra Norrland 3-10 years old 207.3
425 2010 Svealand 3-10 years old 18.6
426 2010 Svealand 3-10 years old 38.3
427 2010 Svealand 3-10 years old 21.7
428 2010 Svealand 3-10 years old 43.6
429 2010 Svealand 3-10 years old 118.7
430 2010 Svealand 3-10 years old 67.0
431 2010 Svealand 3-10 years old 29.6
432 2010 Svealand 3-10 years old 166.1
433 2010 Götaland 3-10 years old 74.9
434 2010 Götaland 3-10 years old 109.4
435 2010 Götaland 3-10 years old 60.1
436 2010 Götaland 3-10 years old 4.0
437 2010 Götaland 3-10 years old 20.5
438 2010 Götaland 3-10 years old 31.2
439 2010 Götaland 3-10 years old 35.5
440 2010 Götaland 3-10 years old 105.0
441 2011 Norra Norrland 3-10 years old 230.9
442 2011 Norra Norrland 3-10 years old 210.8
443 2011 Södra Norrland 3-10 years old 143.2
444 2011 Södra Norrland 3-10 years old 105.3
445 2011 Södra Norrland 3-10 years old 214.2
446 2011 Svealand 3-10 years old 18.4
447 2011 Svealand 3-10 years old 32.9
448 2011 Svealand 3-10 years old 23.9
449 2011 Svealand 3-10 years old 46.7
450 2011 Svealand 3-10 years old 122.5
451 2011 Svealand 3-10 years old 64.0
452 2011 Svealand 3-10 years old 31.3
453 2011 Svealand 3-10 years old 157.4
454 2011 Götaland 3-10 years old 81.1
455 2011 Götaland 3-10 years old 123.4
456 2011 Götaland 3-10 years old 63.9
457 2011 Götaland 3-10 years old 5.4
458 2011 Götaland 3-10 years old 21.8
459 2011 Götaland 3-10 years old 38.6
460 2011 Götaland 3-10 years old 36.7
461 2011 Götaland 3-10 years old 112.1
462 2012 Norra Norrland 3-10 years old 236.1
463 2012 Norra Norrland 3-10 years old 213.6
464 2012 Södra Norrland 3-10 years old 138.6
465 2012 Södra Norrland 3-10 years old 116.3
466 2012 Södra Norrland 3-10 years old 220.1
467 2012 Svealand 3-10 years old 18.7
468 2012 Svealand 3-10 years old 39.1
469 2012 Svealand 3-10 years old 26.2
470 2012 Svealand 3-10 years old 48.6
471 2012 Svealand 3-10 years old 113.3
472 2012 Svealand 3-10 years old 61.3
473 2012 Svealand 3-10 years old 34.1
474 2012 Svealand 3-10 years old 160.6
475 2012 Götaland 3-10 years old 77.9
476 2012 Götaland 3-10 years old 128.0
477 2012 Götaland 3-10 years old 58.9
478 2012 Götaland 3-10 years old 2.8
479 2012 Götaland 3-10 years old 22.0
480 2012 Götaland 3-10 years old 41.5
481 2012 Götaland 3-10 years old 37.8
482 2012 Götaland 3-10 years old 114.1
483 2013 Norra Norrland 3-10 years old 234.6
484 2013 Norra Norrland 3-10 years old 208.9
485 2013 Södra Norrland 3-10 years old 128.2
486 2013 Södra Norrland 3-10 years old 127.2
487 2013 Södra Norrland 3-10 years old 211.1
488 2013 Svealand 3-10 years old 18.0
489 2013 Svealand 3-10 years old 36.1
490 2013 Svealand 3-10 years old 28.6
491 2013 Svealand 3-10 years old 54.1
492 2013 Svealand 3-10 years old 109.9
493 2013 Svealand 3-10 years old 61.3
494 2013 Svealand 3-10 years old 36.6
495 2013 Svealand 3-10 years old 163.2
496 2013 Götaland 3-10 years old 78.6
497 2013 Götaland 3-10 years old 125.6
498 2013 Götaland 3-10 years old 60.0
499 2013 Götaland 3-10 years old 3.3
500 2013 Götaland 3-10 years old 25.6
501 2013 Götaland 3-10 years old 42.9
502 2013 Götaland 3-10 years old 44.2
503 2013 Götaland 3-10 years old 113.0
504 2014 Norra Norrland 3-10 years old 244.6
505 2014 Norra Norrland 3-10 years old 206.1
506 2014 Södra Norrland 3-10 years old 131.7
507 2014 Södra Norrland 3-10 years old 131.9
508 2014 Södra Norrland 3-10 years old 213.2
509 2014 Svealand 3-10 years old 15.5
510 2014 Svealand 3-10 years old 34.8
511 2014 Svealand 3-10 years old 29.2
512 2014 Svealand 3-10 years old 58.0
513 2014 Svealand 3-10 years old 111.7
514 2014 Svealand 3-10 years old 54.1
515 2014 Svealand 3-10 years old 37.0
516 2014 Svealand 3-10 years old 158.9
517 2014 Götaland 3-10 years old 80.8
518 2014 Götaland 3-10 years old 125.2
519 2014 Götaland 3-10 years old 63.7
520 2014 Götaland 3-10 years old 4.1
521 2014 Götaland 3-10 years old 28.8
522 2014 Götaland 3-10 years old 42.5
523 2014 Götaland 3-10 years old 40.1
524 2014 Götaland 3-10 years old 116.5
525 2015 Norra Norrland 3-10 years old 247.4
526 2015 Norra Norrland 3-10 years old 213.9
527 2015 Södra Norrland 3-10 years old 135.2
528 2015 Södra Norrland 3-10 years old 137.6
529 2015 Södra Norrland 3-10 years old 191.9
530 2015 Svealand 3-10 years old 12.7
531 2015 Svealand 3-10 years old 34.8
532 2015 Svealand 3-10 years old 27.7
533 2015 Svealand 3-10 years old 60.5
534 2015 Svealand 3-10 years old 113.8
535 2015 Svealand 3-10 years old 53.1
536 2015 Svealand 3-10 years old 36.1
537 2015 Svealand 3-10 years old 155.5
538 2015 Götaland 3-10 years old 80.6
539 2015 Götaland 3-10 years old 107.4
540 2015 Götaland 3-10 years old 62.4
541 2015 Götaland 3-10 years old 4.1
542 2015 Götaland 3-10 years old 25.3
543 2015 Götaland 3-10 years old 42.0
544 2015 Götaland 3-10 years old 34.5
545 2015 Götaland 3-10 years old 119.2
546 2016 Norra Norrland 3-10 years old 240.2
547 2016 Norra Norrland 3-10 years old 220.5
548 2016 Södra Norrland 3-10 years old 145.4
549 2016 Södra Norrland 3-10 years old 156.5
550 2016 Södra Norrland 3-10 years old 202.2
551 2016 Svealand 3-10 years old 10.8
552 2016 Svealand 3-10 years old 35.7
553 2016 Svealand 3-10 years old 30.1
554 2016 Svealand 3-10 years old 59.9
555 2016 Svealand 3-10 years old 104.2
556 2016 Svealand 3-10 years old 52.8
557 2016 Svealand 3-10 years old 32.2
558 2016 Svealand 3-10 years old 153.2
559 2016 Götaland 3-10 years old 74.6
560 2016 Götaland 3-10 years old 88.5
561 2016 Götaland 3-10 years old 55.6
562 2016 Götaland 3-10 years old 3.1
563 2016 Götaland 3-10 years old 23.6
564 2016 Götaland 3-10 years old 42.2
565 2016 Götaland 3-10 years old 31.1
566 2016 Götaland 3-10 years old 118.2
567 2017 Norra Norrland 3-10 years old 243.6
568 2017 Norra Norrland 3-10 years old 213.3
569 2017 Södra Norrland 3-10 years old 140.9
570 2017 Södra Norrland 3-10 years old 151.1
571 2017 Södra Norrland 3-10 years old 201.3
572 2017 Svealand 3-10 years old 11.7
573 2017 Svealand 3-10 years old 37.8
574 2017 Svealand 3-10 years old 29.5
575 2017 Svealand 3-10 years old 57.5
576 2017 Svealand 3-10 years old 103.2
577 2017 Svealand 3-10 years old 56.1
578 2017 Svealand 3-10 years old 33.2
579 2017 Svealand 3-10 years old 161.0
580 2017 Götaland 3-10 years old 72.6
581 2017 Götaland 3-10 years old 83.9
582 2017 Götaland 3-10 years old 53.8
583 2017 Götaland 3-10 years old 3.4
584 2017 Götaland 3-10 years old 21.3
585 2017 Götaland 3-10 years old 43.1
586 2017 Götaland 3-10 years old 24.9
587 2017 Götaland 3-10 years old 117.0
588 2018 Norra Norrland 3-10 years old 249.5
589 2018 Norra Norrland 3-10 years old 216.7
590 2018 Södra Norrland 3-10 years old 144.1
591 2018 Södra Norrland 3-10 years old 151.5
592 2018 Södra Norrland 3-10 years old 224.4
593 2018 Svealand 3-10 years old 14.1
594 2018 Svealand 3-10 years old 48.1
595 2018 Svealand 3-10 years old 28.8
596 2018 Svealand 3-10 years old 51.5
597 2018 Svealand 3-10 years old 114.5
598 2018 Svealand 3-10 years old 53.7
599 2018 Svealand 3-10 years old 30.7
600 2018 Svealand 3-10 years old 158.7
601 2018 Götaland 3-10 years old 71.7
602 2018 Götaland 3-10 years old 73.9
603 2018 Götaland 3-10 years old 57.2
604 2018 Götaland 3-10 years old 4.0
605 2018 Götaland 3-10 years old 16.6
606 2018 Götaland 3-10 years old 41.3
607 2018 Götaland 3-10 years old 18.4
608 2018 Götaland 3-10 years old 109.6
609 2019 Norra Norrland 3-10 years old 232.9
610 2019 Norra Norrland 3-10 years old 206.1
611 2019 Södra Norrland 3-10 years old 144.4
612 2019 Södra Norrland 3-10 years old 155.6
613 2019 Södra Norrland 3-10 years old 221.5
614 2019 Svealand 3-10 years old 14.6
615 2019 Svealand 3-10 years old 48.9
616 2019 Svealand 3-10 years old 24.1
617 2019 Svealand 3-10 years old 54.6
618 2019 Svealand 3-10 years old 113.8
619 2019 Svealand 3-10 years old 52.1
620 2019 Svealand 3-10 years old 33.2
621 2019 Svealand 3-10 years old 154.4
622 2019 Götaland 3-10 years old 65.6
623 2019 Götaland 3-10 years old 62.4
624 2019 Götaland 3-10 years old 54.9
625 2019 Götaland 3-10 years old 3.1
626 2019 Götaland 3-10 years old 16.0
627 2019 Götaland 3-10 years old 40.2
628 2019 Götaland 3-10 years old 19.8
629 2019 Götaland 3-10 years old 106.1
630 2005 Norra Norrland 11 - 20 years old 317.3
631 2005 Norra Norrland 11 - 20 years old 244.6
632 2005 Södra Norrland 11 - 20 years old 152.7
633 2005 Södra Norrland 11 - 20 years old 201.3
634 2005 Södra Norrland 11 - 20 years old 298.7
635 2005 Svealand 11 - 20 years old 22.7
636 2005 Svealand 11 - 20 years old 50.5
637 2005 Svealand 11 - 20 years old 36.5
638 2005 Svealand 11 - 20 years old 61.8
639 2005 Svealand 11 - 20 years old 139.4
640 2005 Svealand 11 - 20 years old 71.9
641 2005 Svealand 11 - 20 years old 42.0
642 2005 Svealand 11 - 20 years old 214.5
643 2005 Götaland 11 - 20 years old 86.8
644 2005 Götaland 11 - 20 years old 62.3
645 2005 Götaland 11 - 20 years old 68.4
646 2005 Götaland 11 - 20 years old 13.3
647 2005 Götaland 11 - 20 years old 15.5
648 2005 Götaland 11 - 20 years old 38.4
649 2005 Götaland 11 - 20 years old 25.6
650 2005 Götaland 11 - 20 years old 122.9
651 2006 Norra Norrland 11 - 20 years old 325.2
652 2006 Norra Norrland 11 - 20 years old 238.5
653 2006 Södra Norrland 11 - 20 years old 161.8
654 2006 Södra Norrland 11 - 20 years old 205.1
655 2006 Södra Norrland 11 - 20 years old 278.9
656 2006 Svealand 11 - 20 years old 22.2
657 2006 Svealand 11 - 20 years old 49.3
658 2006 Svealand 11 - 20 years old 37.7
659 2006 Svealand 11 - 20 years old 62.7
660 2006 Svealand 11 - 20 years old 144.1
661 2006 Svealand 11 - 20 years old 70.3
662 2006 Svealand 11 - 20 years old 41.4
663 2006 Svealand 11 - 20 years old 225.0
664 2006 Götaland 11 - 20 years old 80.8
665 2006 Götaland 11 - 20 years old 66.6
666 2006 Götaland 11 - 20 years old 65.6
667 2006 Götaland 11 - 20 years old 9.6
668 2006 Götaland 11 - 20 years old 11.4
669 2006 Götaland 11 - 20 years old 38.7
670 2006 Götaland 11 - 20 years old 24.1
671 2006 Götaland 11 - 20 years old 122.8
672 2007 Norra Norrland 11 - 20 years old 303.6
673 2007 Norra Norrland 11 - 20 years old 248.3
674 2007 Södra Norrland 11 - 20 years old 158.5
675 2007 Södra Norrland 11 - 20 years old 192.7
676 2007 Södra Norrland 11 - 20 years old 287.6
677 2007 Svealand 11 - 20 years old 18.6
678 2007 Svealand 11 - 20 years old 51.1
679 2007 Svealand 11 - 20 years old 32.4
680 2007 Svealand 11 - 20 years old 70.7
681 2007 Svealand 11 - 20 years old 136.0
682 2007 Svealand 11 - 20 years old 68.8
683 2007 Svealand 11 - 20 years old 42.6
684 2007 Svealand 11 - 20 years old 214.6
685 2007 Götaland 11 - 20 years old 83.5
686 2007 Götaland 11 - 20 years old 62.9
687 2007 Götaland 11 - 20 years old 64.6
688 2007 Götaland 11 - 20 years old 9.5
689 2007 Götaland 11 - 20 years old 13.7
690 2007 Götaland 11 - 20 years old 43.9
691 2007 Götaland 11 - 20 years old 23.1
692 2007 Götaland 11 - 20 years old 134.2
693 2008 Norra Norrland 11 - 20 years old 279.5
694 2008 Norra Norrland 11 - 20 years old 260.7
695 2008 Södra Norrland 11 - 20 years old 145.2
696 2008 Södra Norrland 11 - 20 years old 189.0
697 2008 Södra Norrland 11 - 20 years old 262.5
698 2008 Svealand 11 - 20 years old 18.7
699 2008 Svealand 11 - 20 years old 52.4
700 2008 Svealand 11 - 20 years old 31.5
701 2008 Svealand 11 - 20 years old 71.6
702 2008 Svealand 11 - 20 years old 134.6
703 2008 Svealand 11 - 20 years old 63.4
704 2008 Svealand 11 - 20 years old 36.4
705 2008 Svealand 11 - 20 years old 202.1
706 2008 Götaland 11 - 20 years old 78.9
707 2008 Götaland 11 - 20 years old 68.7
708 2008 Götaland 11 - 20 years old 61.6
709 2008 Götaland 11 - 20 years old 9.2
710 2008 Götaland 11 - 20 years old 15.6
711 2008 Götaland 11 - 20 years old 47.0
712 2008 Götaland 11 - 20 years old 21.8
713 2008 Götaland 11 - 20 years old 137.0
714 2009 Norra Norrland 11 - 20 years old 259.5
715 2009 Norra Norrland 11 - 20 years old 246.8
716 2009 Södra Norrland 11 - 20 years old 147.2
717 2009 Södra Norrland 11 - 20 years old 179.8
718 2009 Södra Norrland 11 - 20 years old 251.4
719 2009 Svealand 11 - 20 years old 19.9
720 2009 Svealand 11 - 20 years old 48.1
721 2009 Svealand 11 - 20 years old 35.2
722 2009 Svealand 11 - 20 years old 68.4
723 2009 Svealand 11 - 20 years old 142.9
724 2009 Svealand 11 - 20 years old 69.4
725 2009 Svealand 11 - 20 years old 37.1
726 2009 Svealand 11 - 20 years old 198.1
727 2009 Götaland 11 - 20 years old 75.7
728 2009 Götaland 11 - 20 years old 72.8
729 2009 Götaland 11 - 20 years old 60.5
730 2009 Götaland 11 - 20 years old 9.4
731 2009 Götaland 11 - 20 years old 17.0
732 2009 Götaland 11 - 20 years old 39.6
733 2009 Götaland 11 - 20 years old 19.1
734 2009 Götaland 11 - 20 years old 139.1
735 2010 Norra Norrland 11 - 20 years old 240.5
736 2010 Norra Norrland 11 - 20 years old 232.5
737 2010 Södra Norrland 11 - 20 years old 151.1
738 2010 Södra Norrland 11 - 20 years old 187.8
739 2010 Södra Norrland 11 - 20 years old 244.9
740 2010 Svealand 11 - 20 years old 20.7
741 2010 Svealand 11 - 20 years old 49.4
742 2010 Svealand 11 - 20 years old 32.5
743 2010 Svealand 11 - 20 years old 68.8
744 2010 Svealand 11 - 20 years old 142.6
745 2010 Svealand 11 - 20 years old 68.7
746 2010 Svealand 11 - 20 years old 39.9
747 2010 Svealand 11 - 20 years old 198.9
748 2010 Götaland 11 - 20 years old 73.8
749 2010 Götaland 11 - 20 years old 71.0
750 2010 Götaland 11 - 20 years old 63.1
751 2010 Götaland 11 - 20 years old 10.2
752 2010 Götaland 11 - 20 years old 19.4
753 2010 Götaland 11 - 20 years old 41.4
754 2010 Götaland 11 - 20 years old 16.5
755 2010 Götaland 11 - 20 years old 140.8
756 2011 Norra Norrland 11 - 20 years old 240.7
757 2011 Norra Norrland 11 - 20 years old 236.7
758 2011 Södra Norrland 11 - 20 years old 144.2
759 2011 Södra Norrland 11 - 20 years old 174.1
760 2011 Södra Norrland 11 - 20 years old 243.9
761 2011 Svealand 11 - 20 years old 18.2
762 2011 Svealand 11 - 20 years old 56.1
763 2011 Svealand 11 - 20 years old 31.0
764 2011 Svealand 11 - 20 years old 61.1
765 2011 Svealand 11 - 20 years old 135.6
766 2011 Svealand 11 - 20 years old 65.7
767 2011 Svealand 11 - 20 years old 44.5
768 2011 Svealand 11 - 20 years old 191.5
769 2011 Götaland 11 - 20 years old 74.5
770 2011 Götaland 11 - 20 years old 70.3
771 2011 Götaland 11 - 20 years old 62.2
772 2011 Götaland 11 - 20 years old 8.8
773 2011 Götaland 11 - 20 years old 20.7
774 2011 Götaland 11 - 20 years old 43.0
775 2011 Götaland 11 - 20 years old 18.5
776 2011 Götaland 11 - 20 years old 142.6
777 2012 Norra Norrland 11 - 20 years old 238.3
778 2012 Norra Norrland 11 - 20 years old 238.8
779 2012 Södra Norrland 11 - 20 years old 143.9
780 2012 Södra Norrland 11 - 20 years old 176.0
781 2012 Södra Norrland 11 - 20 years old 228.1
782 2012 Svealand 11 - 20 years old 21.2
783 2012 Svealand 11 - 20 years old 50.3
784 2012 Svealand 11 - 20 years old 29.4
785 2012 Svealand 11 - 20 years old 59.8
786 2012 Svealand 11 - 20 years old 140.1
787 2012 Svealand 11 - 20 years old 65.4
788 2012 Svealand 11 - 20 years old 44.1
789 2012 Svealand 11 - 20 years old 184.5
790 2012 Götaland 11 - 20 years old 71.4
791 2012 Götaland 11 - 20 years old 71.4
792 2012 Götaland 11 - 20 years old 66.5
793 2012 Götaland 11 - 20 years old 7.7
794 2012 Götaland 11 - 20 years old 20.3
795 2012 Götaland 11 - 20 years old 39.8
796 2012 Götaland 11 - 20 years old 18.9
797 2012 Götaland 11 - 20 years old 139.4
798 2013 Norra Norrland 11 - 20 years old 225.3
799 2013 Norra Norrland 11 - 20 years old 249.1
800 2013 Södra Norrland 11 - 20 years old 163.8
801 2013 Södra Norrland 11 - 20 years old 166.5
802 2013 Södra Norrland 11 - 20 years old 230.7
803 2013 Svealand 11 - 20 years old 24.3
804 2013 Svealand 11 - 20 years old 52.1
805 2013 Svealand 11 - 20 years old 29.6
806 2013 Svealand 11 - 20 years old 56.1
807 2013 Svealand 11 - 20 years old 136.4
808 2013 Svealand 11 - 20 years old 61.0
809 2013 Svealand 11 - 20 years old 46.3
810 2013 Svealand 11 - 20 years old 181.3
811 2013 Götaland 11 - 20 years old 66.2
812 2013 Götaland 11 - 20 years old 78.5
813 2013 Götaland 11 - 20 years old 70.1
814 2013 Götaland 11 - 20 years old 6.8
815 2013 Götaland 11 - 20 years old 21.0
816 2013 Götaland 11 - 20 years old 41.8
817 2013 Götaland 11 - 20 years old 20.5
818 2013 Götaland 11 - 20 years old 130.2
819 2014 Norra Norrland 11 - 20 years old 221.8
820 2014 Norra Norrland 11 - 20 years old 243.4
821 2014 Södra Norrland 11 - 20 years old 163.2
822 2014 Södra Norrland 11 - 20 years old 161.5
823 2014 Södra Norrland 11 - 20 years old 227.6
824 2014 Svealand 11 - 20 years old 24.4
825 2014 Svealand 11 - 20 years old 51.4
826 2014 Svealand 11 - 20 years old 30.3
827 2014 Svealand 11 - 20 years old 52.4
828 2014 Svealand 11 - 20 years old 128.2
829 2014 Svealand 11 - 20 years old 60.1
830 2014 Svealand 11 - 20 years old 43.7
831 2014 Svealand 11 - 20 years old 185.8
832 2014 Götaland 11 - 20 years old 66.8
833 2014 Götaland 11 - 20 years old 84.2
834 2014 Götaland 11 - 20 years old 65.8
835 2014 Götaland 11 - 20 years old 6.5
836 2014 Götaland 11 - 20 years old 18.2
837 2014 Götaland 11 - 20 years old 43.9
838 2014 Götaland 11 - 20 years old 24.4
839 2014 Götaland 11 - 20 years old 127.4
840 2015 Norra Norrland 11 - 20 years old 226.1
841 2015 Norra Norrland 11 - 20 years old 237.2
842 2015 Södra Norrland 11 - 20 years old 151.9
843 2015 Södra Norrland 11 - 20 years old 150.2
844 2015 Södra Norrland 11 - 20 years old 225.8
845 2015 Svealand 11 - 20 years old 21.9
846 2015 Svealand 11 - 20 years old 45.0
847 2015 Svealand 11 - 20 years old 30.6
848 2015 Svealand 11 - 20 years old 49.4
849 2015 Svealand 11 - 20 years old 130.5
850 2015 Svealand 11 - 20 years old 62.4
851 2015 Svealand 11 - 20 years old 40.9
852 2015 Svealand 11 - 20 years old 176.7
853 2015 Götaland 11 - 20 years old 67.4
854 2015 Götaland 11 - 20 years old 97.9
855 2015 Götaland 11 - 20 years old 67.8
856 2015 Götaland 11 - 20 years old 7.0
857 2015 Götaland 11 - 20 years old 20.6
858 2015 Götaland 11 - 20 years old 43.6
859 2015 Götaland 11 - 20 years old 27.5
860 2015 Götaland 11 - 20 years old 123.1
861 2016 Norra Norrland 11 - 20 years old 232.9
862 2016 Norra Norrland 11 - 20 years old 228.8
863 2016 Södra Norrland 11 - 20 years old 146.7
864 2016 Södra Norrland 11 - 20 years old 149.6
865 2016 Södra Norrland 11 - 20 years old 222.4
866 2016 Svealand 11 - 20 years old 24.2
867 2016 Svealand 11 - 20 years old 41.2
868 2016 Svealand 11 - 20 years old 29.8
869 2016 Svealand 11 - 20 years old 54.2
870 2016 Svealand 11 - 20 years old 122.4
871 2016 Svealand 11 - 20 years old 61.7
872 2016 Svealand 11 - 20 years old 41.6
873 2016 Svealand 11 - 20 years old 164.1
874 2016 Götaland 11 - 20 years old 72.0
875 2016 Götaland 11 - 20 years old 106.1
876 2016 Götaland 11 - 20 years old 70.5
877 2016 Götaland 11 - 20 years old 7.7
878 2016 Götaland 11 - 20 years old 21.0
879 2016 Götaland 11 - 20 years old 41.4
880 2016 Götaland 11 - 20 years old 27.5
881 2016 Götaland 11 - 20 years old 121.1
882 2017 Norra Norrland 11 - 20 years old 219.3
883 2017 Norra Norrland 11 - 20 years old 229.8
884 2017 Södra Norrland 11 - 20 years old 148.8
885 2017 Södra Norrland 11 - 20 years old 150.3
886 2017 Södra Norrland 11 - 20 years old 204.6
887 2017 Svealand 11 - 20 years old 24.9
888 2017 Svealand 11 - 20 years old 42.7
889 2017 Svealand 11 - 20 years old 28.4
890 2017 Svealand 11 - 20 years old 52.1
891 2017 Svealand 11 - 20 years old 121.2
892 2017 Svealand 11 - 20 years old 67.7
893 2017 Svealand 11 - 20 years old 38.3
894 2017 Svealand 11 - 20 years old 168.6
895 2017 Götaland 11 - 20 years old 77.4
896 2017 Götaland 11 - 20 years old 116.8
897 2017 Götaland 11 - 20 years old 73.5
898 2017 Götaland 11 - 20 years old 7.3
899 2017 Götaland 11 - 20 years old 20.9
900 2017 Götaland 11 - 20 years old 42.1
901 2017 Götaland 11 - 20 years old 33.1
902 2017 Götaland 11 - 20 years old 121.0
903 2018 Norra Norrland 11 - 20 years old 236.2
904 2018 Norra Norrland 11 - 20 years old 212.2
905 2018 Södra Norrland 11 - 20 years old 141.3
906 2018 Södra Norrland 11 - 20 years old 150.4
907 2018 Södra Norrland 11 - 20 years old 202.2
908 2018 Svealand 11 - 20 years old 18.8
909 2018 Svealand 11 - 20 years old 38.5
910 2018 Svealand 11 - 20 years old 27.0
911 2018 Svealand 11 - 20 years old 52.5
912 2018 Svealand 11 - 20 years old 121.8
913 2018 Svealand 11 - 20 years old 70.7
914 2018 Svealand 11 - 20 years old 45.0
915 2018 Svealand 11 - 20 years old 175.3
916 2018 Götaland 11 - 20 years old 86.6
917 2018 Götaland 11 - 20 years old 123.8
918 2018 Götaland 11 - 20 years old 74.4
919 2018 Götaland 11 - 20 years old 6.9
920 2018 Götaland 11 - 20 years old 20.8
921 2018 Götaland 11 - 20 years old 42.5
922 2018 Götaland 11 - 20 years old 36.7
923 2018 Götaland 11 - 20 years old 122.1
924 2019 Norra Norrland 11 - 20 years old 239.4
925 2019 Norra Norrland 11 - 20 years old 210.9
926 2019 Södra Norrland 11 - 20 years old 143.7
927 2019 Södra Norrland 11 - 20 years old 135.3
928 2019 Södra Norrland 11 - 20 years old 214.0
929 2019 Svealand 11 - 20 years old 20.4
930 2019 Svealand 11 - 20 years old 44.4
931 2019 Svealand 11 - 20 years old 27.9
932 2019 Svealand 11 - 20 years old 57.7
933 2019 Svealand 11 - 20 years old 122.7
934 2019 Svealand 11 - 20 years old 71.1
935 2019 Svealand 11 - 20 years old 45.5
936 2019 Svealand 11 - 20 years old 172.8
937 2019 Götaland 11 - 20 years old 80.5
938 2019 Götaland 11 - 20 years old 129.4
939 2019 Götaland 11 - 20 years old 78.7
940 2019 Götaland 11 - 20 years old 5.9
941 2019 Götaland 11 - 20 years old 22.5
942 2019 Götaland 11 - 20 years old 49.4
943 2019 Götaland 11 - 20 years old 40.1
944 2019 Götaland 11 - 20 years old 123.8
945 2005 Norra Norrland 21 - 30 years old 339.2
946 2005 Norra Norrland 21 - 30 years old 350.2
947 2005 Södra Norrland 21 - 30 years old 187.5
948 2005 Södra Norrland 21 - 30 years old 227.7
949 2005 Södra Norrland 21 - 30 years old 256.9
950 2005 Svealand 21 - 30 years old 37.1
951 2005 Svealand 21 - 30 years old 43.3
952 2005 Svealand 21 - 30 years old 31.6
953 2005 Svealand 21 - 30 years old 79.8
954 2005 Svealand 21 - 30 years old 159.5
955 2005 Svealand 21 - 30 years old 78.5
956 2005 Svealand 21 - 30 years old 29.7
957 2005 Svealand 21 - 30 years old 250.8
958 2005 Götaland 21 - 30 years old 67.9
959 2005 Götaland 21 - 30 years old 66.9
960 2005 Götaland 21 - 30 years old 75.5
961 2005 Götaland 21 - 30 years old 8.7
962 2005 Götaland 21 - 30 years old 27.8
963 2005 Götaland 21 - 30 years old 39.0
964 2005 Götaland 21 - 30 years old 29.6
965 2005 Götaland 21 - 30 years old 139.8
966 2006 Norra Norrland 21 - 30 years old 308.9
967 2006 Norra Norrland 21 - 30 years old 375.8
968 2006 Södra Norrland 21 - 30 years old 194.1
969 2006 Södra Norrland 21 - 30 years old 222.7
970 2006 Södra Norrland 21 - 30 years old 275.3
971 2006 Svealand 21 - 30 years old 37.7
972 2006 Svealand 21 - 30 years old 41.7
973 2006 Svealand 21 - 30 years old 35.5
974 2006 Svealand 21 - 30 years old 79.6
975 2006 Svealand 21 - 30 years old 170.9
976 2006 Svealand 21 - 30 years old 75.0
977 2006 Svealand 21 - 30 years old 30.8
978 2006 Svealand 21 - 30 years old 244.4
979 2006 Götaland 21 - 30 years old 64.3
980 2006 Götaland 21 - 30 years old 59.3
981 2006 Götaland 21 - 30 years old 81.0
982 2006 Götaland 21 - 30 years old 10.6
983 2006 Götaland 21 - 30 years old 24.4
984 2006 Götaland 21 - 30 years old 37.4
985 2006 Götaland 21 - 30 years old 25.5
986 2006 Götaland 21 - 30 years old 142.1
987 2007 Norra Norrland 21 - 30 years old 329.3
988 2007 Norra Norrland 21 - 30 years old 353.4
989 2007 Södra Norrland 21 - 30 years old 180.6
990 2007 Södra Norrland 21 - 30 years old 232.3
991 2007 Södra Norrland 21 - 30 years old 273.0
992 2007 Svealand 21 - 30 years old 36.9
993 2007 Svealand 21 - 30 years old 45.3
994 2007 Svealand 21 - 30 years old 31.8
995 2007 Svealand 21 - 30 years old 79.6
996 2007 Svealand 21 - 30 years old 161.9
997 2007 Svealand 21 - 30 years old 75.1
998 2007 Svealand 21 - 30 years old 30.7
999 2007 Svealand 21 - 30 years old 246.6
1000 2007 Götaland 21 - 30 years old 62.5
1001 2007 Götaland 21 - 30 years old 56.8
1002 2007 Götaland 21 - 30 years old 86.2
1003 2007 Götaland 21 - 30 years old 9.4
1004 2007 Götaland 21 - 30 years old 23.0
1005 2007 Götaland 21 - 30 years old 38.8
1006 2007 Götaland 21 - 30 years old 24.1
1007 2007 Götaland 21 - 30 years old 134.1
1008 2008 Norra Norrland 21 - 30 years old 335.6
1009 2008 Norra Norrland 21 - 30 years old 344.0
1010 2008 Södra Norrland 21 - 30 years old 175.6
1011 2008 Södra Norrland 21 - 30 years old 234.9
1012 2008 Södra Norrland 21 - 30 years old 269.2
1013 2008 Svealand 21 - 30 years old 35.1
1014 2008 Svealand 21 - 30 years old 48.7
1015 2008 Svealand 21 - 30 years old 32.4
1016 2008 Svealand 21 - 30 years old 79.2
1017 2008 Svealand 21 - 30 years old 164.1
1018 2008 Svealand 21 - 30 years old 76.1
1019 2008 Svealand 21 - 30 years old 33.9
1020 2008 Svealand 21 - 30 years old 261.5
1021 2008 Götaland 21 - 30 years old 70.7
1022 2008 Götaland 21 - 30 years old 51.2
1023 2008 Götaland 21 - 30 years old 91.0
1024 2008 Götaland 21 - 30 years old 10.7
1025 2008 Götaland 21 - 30 years old 20.6
1026 2008 Götaland 21 - 30 years old 38.1
1027 2008 Götaland 21 - 30 years old 22.2
1028 2008 Götaland 21 - 30 years old 121.4
1029 2009 Norra Norrland 21 - 30 years old 316.9
1030 2009 Norra Norrland 21 - 30 years old 343.4
1031 2009 Södra Norrland 21 - 30 years old 173.3
1032 2009 Södra Norrland 21 - 30 years old 228.3
1033 2009 Södra Norrland 21 - 30 years old 281.6
1034 2009 Svealand 21 - 30 years old 36.4
1035 2009 Svealand 21 - 30 years old 47.7
1036 2009 Svealand 21 - 30 years old 30.3
1037 2009 Svealand 21 - 30 years old 81.5
1038 2009 Svealand 21 - 30 years old 158.4
1039 2009 Svealand 21 - 30 years old 70.5
1040 2009 Svealand 21 - 30 years old 31.4
1041 2009 Svealand 21 - 30 years old 263.9
1042 2009 Götaland 21 - 30 years old 70.1
1043 2009 Götaland 21 - 30 years old 50.8
1044 2009 Götaland 21 - 30 years old 87.2
1045 2009 Götaland 21 - 30 years old 10.0
1046 2009 Götaland 21 - 30 years old 19.2
1047 2009 Götaland 21 - 30 years old 31.8
1048 2009 Götaland 21 - 30 years old 20.5
1049 2009 Götaland 21 - 30 years old 120.0
1050 2010 Norra Norrland 21 - 30 years old 333.0
1051 2010 Norra Norrland 21 - 30 years old 322.3
1052 2010 Södra Norrland 21 - 30 years old 165.2
1053 2010 Södra Norrland 21 - 30 years old 216.6
1054 2010 Södra Norrland 21 - 30 years old 292.1
1055 2010 Svealand 21 - 30 years old 31.9
1056 2010 Svealand 21 - 30 years old 44.5
1057 2010 Svealand 21 - 30 years old 34.1
1058 2010 Svealand 21 - 30 years old 80.1
1059 2010 Svealand 21 - 30 years old 150.0
1060 2010 Svealand 21 - 30 years old 68.3
1061 2010 Svealand 21 - 30 years old 30.8
1062 2010 Svealand 21 - 30 years old 263.0
1063 2010 Götaland 21 - 30 years old 74.4
1064 2010 Götaland 21 - 30 years old 53.2
1065 2010 Götaland 21 - 30 years old 86.8
1066 2010 Götaland 21 - 30 years old 12.3
1067 2010 Götaland 21 - 30 years old 16.4
1068 2010 Götaland 21 - 30 years old 34.6
1069 2010 Götaland 21 - 30 years old 19.7
1070 2010 Götaland 21 - 30 years old 117.6
1071 2011 Norra Norrland 21 - 30 years old 343.5
1072 2011 Norra Norrland 21 - 30 years old 296.3
1073 2011 Södra Norrland 21 - 30 years old 160.9
1074 2011 Södra Norrland 21 - 30 years old 216.6
1075 2011 Södra Norrland 21 - 30 years old 296.4
1076 2011 Svealand 21 - 30 years old 32.2
1077 2011 Svealand 21 - 30 years old 50.3
1078 2011 Svealand 21 - 30 years old 33.1
1079 2011 Svealand 21 - 30 years old 75.9
1080 2011 Svealand 21 - 30 years old 143.9
1081 2011 Svealand 21 - 30 years old 68.7
1082 2011 Svealand 21 - 30 years old 30.4
1083 2011 Svealand 21 - 30 years old 259.0
1084 2011 Götaland 21 - 30 years old 71.9
1085 2011 Götaland 21 - 30 years old 53.9
1086 2011 Götaland 21 - 30 years old 84.7
1087 2011 Götaland 21 - 30 years old 16.1
1088 2011 Götaland 21 - 30 years old 16.2
1089 2011 Götaland 21 - 30 years old 31.8
1090 2011 Götaland 21 - 30 years old 20.8
1091 2011 Götaland 21 - 30 years old 106.8
1092 2012 Norra Norrland 21 - 30 years old 315.5
1093 2012 Norra Norrland 21 - 30 years old 289.7
1094 2012 Södra Norrland 21 - 30 years old 164.6
1095 2012 Södra Norrland 21 - 30 years old 213.9
1096 2012 Södra Norrland 21 - 30 years old 301.1
1097 2012 Svealand 21 - 30 years old 29.8
1098 2012 Svealand 21 - 30 years old 48.8
1099 2012 Svealand 21 - 30 years old 33.7
1100 2012 Svealand 21 - 30 years old 72.2
1101 2012 Svealand 21 - 30 years old 138.1
1102 2012 Svealand 21 - 30 years old 68.5
1103 2012 Svealand 21 - 30 years old 35.4
1104 2012 Svealand 21 - 30 years old 243.5
1105 2012 Götaland 21 - 30 years old 71.3
1106 2012 Götaland 21 - 30 years old 53.9
1107 2012 Götaland 21 - 30 years old 81.5
1108 2012 Götaland 21 - 30 years old 17.4
1109 2012 Götaland 21 - 30 years old 15.8
1110 2012 Götaland 21 - 30 years old 30.3
1111 2012 Götaland 21 - 30 years old 21.8
1112 2012 Götaland 21 - 30 years old 108.1
1113 2013 Norra Norrland 21 - 30 years old 314.5
1114 2013 Norra Norrland 21 - 30 years old 265.2
1115 2013 Södra Norrland 21 - 30 years old 158.7
1116 2013 Södra Norrland 21 - 30 years old 202.7
1117 2013 Södra Norrland 21 - 30 years old 313.5
1118 2013 Svealand 21 - 30 years old 23.6
1119 2013 Svealand 21 - 30 years old 46.4
1120 2013 Svealand 21 - 30 years old 37.9
1121 2013 Svealand 21 - 30 years old 66.7
1122 2013 Svealand 21 - 30 years old 134.2
1123 2013 Svealand 21 - 30 years old 60.3
1124 2013 Svealand 21 - 30 years old 35.8
1125 2013 Svealand 21 - 30 years old 229.8
1126 2013 Götaland 21 - 30 years old 75.4
1127 2013 Götaland 21 - 30 years old 55.0
1128 2013 Götaland 21 - 30 years old 71.6
1129 2013 Götaland 21 - 30 years old 16.3
1130 2013 Götaland 21 - 30 years old 13.4
1131 2013 Götaland 21 - 30 years old 34.2
1132 2013 Götaland 21 - 30 years old 21.1
1133 2013 Götaland 21 - 30 years old 113.7
1134 2014 Norra Norrland 21 - 30 years old 323.9
1135 2014 Norra Norrland 21 - 30 years old 251.4
1136 2014 Södra Norrland 21 - 30 years old 152.1
1137 2014 Södra Norrland 21 - 30 years old 198.6
1138 2014 Södra Norrland 21 - 30 years old 306.6
1139 2014 Svealand 21 - 30 years old 23.2
1140 2014 Svealand 21 - 30 years old 44.4
1141 2014 Svealand 21 - 30 years old 37.8
1142 2014 Svealand 21 - 30 years old 63.0
1143 2014 Svealand 21 - 30 years old 141.1
1144 2014 Svealand 21 - 30 years old 63.5
1145 2014 Svealand 21 - 30 years old 41.3
1146 2014 Svealand 21 - 30 years old 227.2
1147 2014 Götaland 21 - 30 years old 76.7
1148 2014 Götaland 21 - 30 years old 49.8
1149 2014 Götaland 21 - 30 years old 75.0
1150 2014 Götaland 21 - 30 years old 16.7
1151 2014 Götaland 21 - 30 years old 17.1
1152 2014 Götaland 21 - 30 years old 36.7
1153 2014 Götaland 21 - 30 years old 22.2
1154 2014 Götaland 21 - 30 years old 116.6
1155 2015 Norra Norrland 21 - 30 years old 287.9
1156 2015 Norra Norrland 21 - 30 years old 226.0
1157 2015 Södra Norrland 21 - 30 years old 165.7
1158 2015 Södra Norrland 21 - 30 years old 195.9
1159 2015 Södra Norrland 21 - 30 years old 292.1
1160 2015 Svealand 21 - 30 years old 21.2
1161 2015 Svealand 21 - 30 years old 48.2
1162 2015 Svealand 21 - 30 years old 38.0
1163 2015 Svealand 21 - 30 years old 59.0
1164 2015 Svealand 21 - 30 years old 144.0
1165 2015 Svealand 21 - 30 years old 64.8
1166 2015 Svealand 21 - 30 years old 43.2
1167 2015 Svealand 21 - 30 years old 230.6
1168 2015 Götaland 21 - 30 years old 81.3
1169 2015 Götaland 21 - 30 years old 59.4
1170 2015 Götaland 21 - 30 years old 74.5
1171 2015 Götaland 21 - 30 years old 13.3
1172 2015 Götaland 21 - 30 years old 18.8
1173 2015 Götaland 21 - 30 years old 37.6
1174 2015 Götaland 21 - 30 years old 26.1
1175 2015 Götaland 21 - 30 years old 114.5
1176 2016 Norra Norrland 21 - 30 years old 284.3
1177 2016 Norra Norrland 21 - 30 years old 216.6
1178 2016 Södra Norrland 21 - 30 years old 172.4
1179 2016 Södra Norrland 21 - 30 years old 207.8
1180 2016 Södra Norrland 21 - 30 years old 285.6
1181 2016 Svealand 21 - 30 years old 18.6
1182 2016 Svealand 21 - 30 years old 49.7
1183 2016 Svealand 21 - 30 years old 38.8
1184 2016 Svealand 21 - 30 years old 61.1
1185 2016 Svealand 21 - 30 years old 139.7
1186 2016 Svealand 21 - 30 years old 64.3
1187 2016 Svealand 21 - 30 years old 46.9
1188 2016 Svealand 21 - 30 years old 238.8
1189 2016 Götaland 21 - 30 years old 80.3
1190 2016 Götaland 21 - 30 years old 67.7
1191 2016 Götaland 21 - 30 years old 68.1
1192 2016 Götaland 21 - 30 years old 9.0
1193 2016 Götaland 21 - 30 years old 16.2
1194 2016 Götaland 21 - 30 years old 37.2
1195 2016 Götaland 21 - 30 years old 26.4
1196 2016 Götaland 21 - 30 years old 124.2
1197 2017 Norra Norrland 21 - 30 years old 289.1
1198 2017 Norra Norrland 21 - 30 years old 221.7
1199 2017 Södra Norrland 21 - 30 years old 167.9
1200 2017 Södra Norrland 21 - 30 years old 186.2
1201 2017 Södra Norrland 21 - 30 years old 281.5
1202 2017 Svealand 21 - 30 years old 21.9
1203 2017 Svealand 21 - 30 years old 49.7
1204 2017 Svealand 21 - 30 years old 36.4
1205 2017 Svealand 21 - 30 years old 64.9
1206 2017 Svealand 21 - 30 years old 140.6
1207 2017 Svealand 21 - 30 years old 62.5
1208 2017 Svealand 21 - 30 years old 43.6
1209 2017 Svealand 21 - 30 years old 235.7
1210 2017 Götaland 21 - 30 years old 83.3
1211 2017 Götaland 21 - 30 years old 72.4
1212 2017 Götaland 21 - 30 years old 69.3
1213 2017 Götaland 21 - 30 years old 8.4
1214 2017 Götaland 21 - 30 years old 15.6
1215 2017 Götaland 21 - 30 years old 37.3
1216 2017 Götaland 21 - 30 years old 25.9
1217 2017 Götaland 21 - 30 years old 120.7
1218 2018 Norra Norrland 21 - 30 years old 261.2
1219 2018 Norra Norrland 21 - 30 years old 233.5
1220 2018 Södra Norrland 21 - 30 years old 168.3
1221 2018 Södra Norrland 21 - 30 years old 171.2
1222 2018 Södra Norrland 21 - 30 years old 256.3
1223 2018 Svealand 21 - 30 years old 25.1
1224 2018 Svealand 21 - 30 years old 52.5
1225 2018 Svealand 21 - 30 years old 29.3
1226 2018 Svealand 21 - 30 years old 63.7
1227 2018 Svealand 21 - 30 years old 128.0
1228 2018 Svealand 21 - 30 years old 64.9
1229 2018 Svealand 21 - 30 years old 37.5
1230 2018 Svealand 21 - 30 years old 225.4
1231 2018 Götaland 21 - 30 years old 73.8
1232 2018 Götaland 21 - 30 years old 73.3
1233 2018 Götaland 21 - 30 years old 72.3
1234 2018 Götaland 21 - 30 years old 7.4
1235 2018 Götaland 21 - 30 years old 15.7
1236 2018 Götaland 21 - 30 years old 40.3
1237 2018 Götaland 21 - 30 years old 26.2
1238 2018 Götaland 21 - 30 years old 130.4
1239 2019 Norra Norrland 21 - 30 years old 246.0
1240 2019 Norra Norrland 21 - 30 years old 221.1
1241 2019 Södra Norrland 21 - 30 years old 169.1
1242 2019 Södra Norrland 21 - 30 years old 169.6
1243 2019 Södra Norrland 21 - 30 years old 258.9
1244 2019 Svealand 21 - 30 years old 21.9
1245 2019 Svealand 21 - 30 years old 50.6
1246 2019 Svealand 21 - 30 years old 36.1
1247 2019 Svealand 21 - 30 years old 66.9
1248 2019 Svealand 21 - 30 years old 133.2
1249 2019 Svealand 21 - 30 years old 66.6
1250 2019 Svealand 21 - 30 years old 35.0
1251 2019 Svealand 21 - 30 years old 211.2
1252 2019 Götaland 21 - 30 years old 79.8
1253 2019 Götaland 21 - 30 years old 80.4
1254 2019 Götaland 21 - 30 years old 66.5
1255 2019 Götaland 21 - 30 years old 8.2
1256 2019 Götaland 21 - 30 years old 17.7
1257 2019 Götaland 21 - 30 years old 39.9
1258 2019 Götaland 21 - 30 years old 26.0
1259 2019 Götaland 21 - 30 years old 139.2
1260 2005 Norra Norrland 31 - 40 years old 217.5
1261 2005 Norra Norrland 31 - 40 years old 336.4
1262 2005 Södra Norrland 31 - 40 years old 177.2
1263 2005 Södra Norrland 31 - 40 years old 193.4
1264 2005 Södra Norrland 31 - 40 years old 214.6
1265 2005 Svealand 31 - 40 years old 28.6
1266 2005 Svealand 31 - 40 years old 53.0
1267 2005 Svealand 31 - 40 years old 38.1
1268 2005 Svealand 31 - 40 years old 84.5
1269 2005 Svealand 31 - 40 years old 174.6
1270 2005 Svealand 31 - 40 years old 78.5
1271 2005 Svealand 31 - 40 years old 33.8
1272 2005 Svealand 31 - 40 years old 175.0
1273 2005 Götaland 31 - 40 years old 84.0
1274 2005 Götaland 31 - 40 years old 84.6
1275 2005 Götaland 31 - 40 years old 68.6
1276 2005 Götaland 31 - 40 years old 6.2
1277 2005 Götaland 31 - 40 years old 23.0
1278 2005 Götaland 31 - 40 years old 41.9
1279 2005 Götaland 31 - 40 years old 39.7
1280 2005 Götaland 31 - 40 years old 151.9
1281 2006 Norra Norrland 31 - 40 years old 242.6
1282 2006 Norra Norrland 31 - 40 years old 309.8
1283 2006 Södra Norrland 31 - 40 years old 174.4
1284 2006 Södra Norrland 31 - 40 years old 209.9
1285 2006 Södra Norrland 31 - 40 years old 213.0
1286 2006 Svealand 31 - 40 years old 29.2
1287 2006 Svealand 31 - 40 years old 47.8
1288 2006 Svealand 31 - 40 years old 40.2
1289 2006 Svealand 31 - 40 years old 80.0
1290 2006 Svealand 31 - 40 years old 171.0
1291 2006 Svealand 31 - 40 years old 80.7
1292 2006 Svealand 31 - 40 years old 35.3
1293 2006 Svealand 31 - 40 years old 176.8
1294 2006 Götaland 31 - 40 years old 74.8
1295 2006 Götaland 31 - 40 years old 84.1
1296 2006 Götaland 31 - 40 years old 67.0
1297 2006 Götaland 31 - 40 years old 8.3
1298 2006 Götaland 31 - 40 years old 23.1
1299 2006 Götaland 31 - 40 years old 42.8
1300 2006 Götaland 31 - 40 years old 36.2
1301 2006 Götaland 31 - 40 years old 151.2
1302 2007 Norra Norrland 31 - 40 years old 242.6
1303 2007 Norra Norrland 31 - 40 years old 308.8
1304 2007 Södra Norrland 31 - 40 years old 181.0
1305 2007 Södra Norrland 31 - 40 years old 223.1
1306 2007 Södra Norrland 31 - 40 years old 197.6
1307 2007 Svealand 31 - 40 years old 28.9
1308 2007 Svealand 31 - 40 years old 42.6
1309 2007 Svealand 31 - 40 years old 45.6
1310 2007 Svealand 31 - 40 years old 75.3
1311 2007 Svealand 31 - 40 years old 174.3
1312 2007 Svealand 31 - 40 years old 78.6
1313 2007 Svealand 31 - 40 years old 38.8
1314 2007 Svealand 31 - 40 years old 197.7
1315 2007 Götaland 31 - 40 years old 72.0
1316 2007 Götaland 31 - 40 years old 84.5
1317 2007 Götaland 31 - 40 years old 65.4
1318 2007 Götaland 31 - 40 years old 8.3
1319 2007 Götaland 31 - 40 years old 25.0
1320 2007 Götaland 31 - 40 years old 40.4
1321 2007 Götaland 31 - 40 years old 34.1
1322 2007 Götaland 31 - 40 years old 150.8
1323 2008 Norra Norrland 31 - 40 years old 242.4
1324 2008 Norra Norrland 31 - 40 years old 318.9
1325 2008 Södra Norrland 31 - 40 years old 178.4
1326 2008 Södra Norrland 31 - 40 years old 226.6
1327 2008 Södra Norrland 31 - 40 years old 187.9
1328 2008 Svealand 31 - 40 years old 32.4
1329 2008 Svealand 31 - 40 years old 44.2
1330 2008 Svealand 31 - 40 years old 45.5
1331 2008 Svealand 31 - 40 years old 76.1
1332 2008 Svealand 31 - 40 years old 166.4
1333 2008 Svealand 31 - 40 years old 83.7
1334 2008 Svealand 31 - 40 years old 39.6
1335 2008 Svealand 31 - 40 years old 205.3
1336 2008 Götaland 31 - 40 years old 71.9
1337 2008 Götaland 31 - 40 years old 89.0
1338 2008 Götaland 31 - 40 years old 67.5
1339 2008 Götaland 31 - 40 years old 8.8
1340 2008 Götaland 31 - 40 years old 23.7
1341 2008 Götaland 31 - 40 years old 36.9
1342 2008 Götaland 31 - 40 years old 35.1
1343 2008 Götaland 31 - 40 years old 165.7
1344 2009 Norra Norrland 31 - 40 years old 244.1
1345 2009 Norra Norrland 31 - 40 years old 330.1
1346 2009 Södra Norrland 31 - 40 years old 186.1
1347 2009 Södra Norrland 31 - 40 years old 227.0
1348 2009 Södra Norrland 31 - 40 years old 182.0
1349 2009 Svealand 31 - 40 years old 28.9
1350 2009 Svealand 31 - 40 years old 43.2
1351 2009 Svealand 31 - 40 years old 44.1
1352 2009 Svealand 31 - 40 years old 77.8
1353 2009 Svealand 31 - 40 years old 162.1
1354 2009 Svealand 31 - 40 years old 80.8
1355 2009 Svealand 31 - 40 years old 39.4
1356 2009 Svealand 31 - 40 years old 202.3
1357 2009 Götaland 31 - 40 years old 70.6
1358 2009 Götaland 31 - 40 years old 88.5
1359 2009 Götaland 31 - 40 years old 81.1
1360 2009 Götaland 31 - 40 years old 11.1
1361 2009 Götaland 31 - 40 years old 22.7
1362 2009 Götaland 31 - 40 years old 37.4
1363 2009 Götaland 31 - 40 years old 32.5
1364 2009 Götaland 31 - 40 years old 172.5
1365 2010 Norra Norrland 31 - 40 years old 262.2
1366 2010 Norra Norrland 31 - 40 years old 327.7
1367 2010 Södra Norrland 31 - 40 years old 191.7
1368 2010 Södra Norrland 31 - 40 years old 224.9
1369 2010 Södra Norrland 31 - 40 years old 194.9
1370 2010 Svealand 31 - 40 years old 36.2
1371 2010 Svealand 31 - 40 years old 45.7
1372 2010 Svealand 31 - 40 years old 42.6
1373 2010 Svealand 31 - 40 years old 80.2
1374 2010 Svealand 31 - 40 years old 168.0
1375 2010 Svealand 31 - 40 years old 78.4
1376 2010 Svealand 31 - 40 years old 31.7
1377 2010 Svealand 31 - 40 years old 219.2
1378 2010 Götaland 31 - 40 years old 64.0
1379 2010 Götaland 31 - 40 years old 87.7
1380 2010 Götaland 31 - 40 years old 81.8
1381 2010 Götaland 31 - 40 years old 11.5
1382 2010 Götaland 31 - 40 years old 23.9
1383 2010 Götaland 31 - 40 years old 37.4
1384 2010 Götaland 31 - 40 years old 32.1
1385 2010 Götaland 31 - 40 years old 165.8
1386 2011 Norra Norrland 31 - 40 years old 277.1
1387 2011 Norra Norrland 31 - 40 years old 353.0
1388 2011 Södra Norrland 31 - 40 years old 210.0
1389 2011 Södra Norrland 31 - 40 years old 217.6
1390 2011 Södra Norrland 31 - 40 years old 196.1
1391 2011 Svealand 31 - 40 years old 34.8
1392 2011 Svealand 31 - 40 years old 49.2
1393 2011 Svealand 31 - 40 years old 42.3
1394 2011 Svealand 31 - 40 years old 85.7
1395 2011 Svealand 31 - 40 years old 174.1
1396 2011 Svealand 31 - 40 years old 74.3
1397 2011 Svealand 31 - 40 years old 30.3
1398 2011 Svealand 31 - 40 years old 240.6
1399 2011 Götaland 31 - 40 years old 70.2
1400 2011 Götaland 31 - 40 years old 89.1
1401 2011 Götaland 31 - 40 years old 81.7
1402 2011 Götaland 31 - 40 years old 10.1
1403 2011 Götaland 31 - 40 years old 25.3
1404 2011 Götaland 31 - 40 years old 41.5
1405 2011 Götaland 31 - 40 years old 34.6
1406 2011 Götaland 31 - 40 years old 169.1
1407 2012 Norra Norrland 31 - 40 years old 284.0
1408 2012 Norra Norrland 31 - 40 years old 358.3
1409 2012 Södra Norrland 31 - 40 years old 210.5
1410 2012 Södra Norrland 31 - 40 years old 199.2
1411 2012 Södra Norrland 31 - 40 years old 217.3
1412 2012 Svealand 31 - 40 years old 39.9
1413 2012 Svealand 31 - 40 years old 53.0
1414 2012 Svealand 31 - 40 years old 41.7
1415 2012 Svealand 31 - 40 years old 85.9
1416 2012 Svealand 31 - 40 years old 171.1
1417 2012 Svealand 31 - 40 years old 75.4
1418 2012 Svealand 31 - 40 years old 25.8
1419 2012 Svealand 31 - 40 years old 251.7
1420 2012 Götaland 31 - 40 years old 71.8
1421 2012 Götaland 31 - 40 years old 91.7
1422 2012 Götaland 31 - 40 years old 81.9
1423 2012 Götaland 31 - 40 years old 10.1
1424 2012 Götaland 31 - 40 years old 22.2
1425 2012 Götaland 31 - 40 years old 40.0
1426 2012 Götaland 31 - 40 years old 30.1
1427 2012 Götaland 31 - 40 years old 166.9
1428 2013 Norra Norrland 31 - 40 years old 293.8
1429 2013 Norra Norrland 31 - 40 years old 377.6
1430 2013 Södra Norrland 31 - 40 years old 211.3
1431 2013 Södra Norrland 31 - 40 years old 219.4
1432 2013 Södra Norrland 31 - 40 years old 245.6
1433 2013 Svealand 31 - 40 years old 43.8
1434 2013 Svealand 31 - 40 years old 51.5
1435 2013 Svealand 31 - 40 years old 42.3
1436 2013 Svealand 31 - 40 years old 89.8
1437 2013 Svealand 31 - 40 years old 173.0
1438 2013 Svealand 31 - 40 years old 77.2
1439 2013 Svealand 31 - 40 years old 28.0
1440 2013 Svealand 31 - 40 years old 263.9
1441 2013 Götaland 31 - 40 years old 70.6
1442 2013 Götaland 31 - 40 years old 92.2
1443 2013 Götaland 31 - 40 years old 87.2
1444 2013 Götaland 31 - 40 years old 9.3
1445 2013 Götaland 31 - 40 years old 24.5
1446 2013 Götaland 31 - 40 years old 38.1
1447 2013 Götaland 31 - 40 years old 30.2
1448 2013 Götaland 31 - 40 years old 156.1
1449 2014 Norra Norrland 31 - 40 years old 323.3
1450 2014 Norra Norrland 31 - 40 years old 386.5
1451 2014 Södra Norrland 31 - 40 years old 200.7
1452 2014 Södra Norrland 31 - 40 years old 216.4
1453 2014 Södra Norrland 31 - 40 years old 266.4
1454 2014 Svealand 31 - 40 years old 43.9
1455 2014 Svealand 31 - 40 years old 56.7
1456 2014 Svealand 31 - 40 years old 38.8
1457 2014 Svealand 31 - 40 years old 88.7
1458 2014 Svealand 31 - 40 years old 173.0
1459 2014 Svealand 31 - 40 years old 77.3
1460 2014 Svealand 31 - 40 years old 28.1
1461 2014 Svealand 31 - 40 years old 281.7
1462 2014 Götaland 31 - 40 years old 76.2
1463 2014 Götaland 31 - 40 years old 86.8
1464 2014 Götaland 31 - 40 years old 78.8
1465 2014 Götaland 31 - 40 years old 10.5
1466 2014 Götaland 31 - 40 years old 25.7
1467 2014 Götaland 31 - 40 years old 41.6
1468 2014 Götaland 31 - 40 years old 28.2
1469 2014 Götaland 31 - 40 years old 148.0
1470 2015 Norra Norrland 31 - 40 years old 345.9
1471 2015 Norra Norrland 31 - 40 years old 381.2
1472 2015 Södra Norrland 31 - 40 years old 189.3
1473 2015 Södra Norrland 31 - 40 years old 197.4
1474 2015 Södra Norrland 31 - 40 years old 282.5
1475 2015 Svealand 31 - 40 years old 39.5
1476 2015 Svealand 31 - 40 years old 55.3
1477 2015 Svealand 31 - 40 years old 37.5
1478 2015 Svealand 31 - 40 years old 83.4
1479 2015 Svealand 31 - 40 years old 163.9
1480 2015 Svealand 31 - 40 years old 78.4
1481 2015 Svealand 31 - 40 years old 29.9
1482 2015 Svealand 31 - 40 years old 258.7
1483 2015 Götaland 31 - 40 years old 79.4
1484 2015 Götaland 31 - 40 years old 83.1
1485 2015 Götaland 31 - 40 years old 81.4
1486 2015 Götaland 31 - 40 years old 12.6
1487 2015 Götaland 31 - 40 years old 28.2
1488 2015 Götaland 31 - 40 years old 38.9
1489 2015 Götaland 31 - 40 years old 26.2
1490 2015 Götaland 31 - 40 years old 149.9
1491 2016 Norra Norrland 31 - 40 years old 348.3
1492 2016 Norra Norrland 31 - 40 years old 388.8
1493 2016 Södra Norrland 31 - 40 years old 186.9
1494 2016 Södra Norrland 31 - 40 years old 200.7
1495 2016 Södra Norrland 31 - 40 years old 300.9
1496 2016 Svealand 31 - 40 years old 42.8
1497 2016 Svealand 31 - 40 years old 57.5
1498 2016 Svealand 31 - 40 years old 33.9
1499 2016 Svealand 31 - 40 years old 78.9
1500 2016 Svealand 31 - 40 years old 171.2
1501 2016 Svealand 31 - 40 years old 79.4
1502 2016 Svealand 31 - 40 years old 33.9
1503 2016 Svealand 31 - 40 years old 255.5
1504 2016 Götaland 31 - 40 years old 72.3
1505 2016 Götaland 31 - 40 years old 78.6
1506 2016 Götaland 31 - 40 years old 81.8
1507 2016 Götaland 31 - 40 years old 15.0
1508 2016 Götaland 31 - 40 years old 29.7
1509 2016 Götaland 31 - 40 years old 37.1
1510 2016 Götaland 31 - 40 years old 26.6
1511 2016 Götaland 31 - 40 years old 138.3
1512 2017 Norra Norrland 31 - 40 years old 362.0
1513 2017 Norra Norrland 31 - 40 years old 362.2
1514 2017 Södra Norrland 31 - 40 years old 180.9
1515 2017 Södra Norrland 31 - 40 years old 217.8
1516 2017 Södra Norrland 31 - 40 years old 305.8
1517 2017 Svealand 31 - 40 years old 41.5
1518 2017 Svealand 31 - 40 years old 60.8
1519 2017 Svealand 31 - 40 years old 33.0
1520 2017 Svealand 31 - 40 years old 77.1
1521 2017 Svealand 31 - 40 years old 166.5
1522 2017 Svealand 31 - 40 years old 75.8
1523 2017 Svealand 31 - 40 years old 38.8
1524 2017 Svealand 31 - 40 years old 242.1
1525 2017 Götaland 31 - 40 years old 73.2
1526 2017 Götaland 31 - 40 years old 70.3
1527 2017 Götaland 31 - 40 years old 86.7
1528 2017 Götaland 31 - 40 years old 15.4
1529 2017 Götaland 31 - 40 years old 28.9
1530 2017 Götaland 31 - 40 years old 39.5
1531 2017 Götaland 31 - 40 years old 26.3
1532 2017 Götaland 31 - 40 years old 131.4
1533 2018 Norra Norrland 31 - 40 years old 376.9
1534 2018 Norra Norrland 31 - 40 years old 335.0
1535 2018 Södra Norrland 31 - 40 years old 176.8
1536 2018 Södra Norrland 31 - 40 years old 205.9
1537 2018 Södra Norrland 31 - 40 years old 305.0
1538 2018 Svealand 31 - 40 years old 35.3
1539 2018 Svealand 31 - 40 years old 60.1
1540 2018 Svealand 31 - 40 years old 33.4
1541 2018 Svealand 31 - 40 years old 75.6
1542 2018 Svealand 31 - 40 years old 170.3
1543 2018 Svealand 31 - 40 years old 74.0
1544 2018 Svealand 31 - 40 years old 41.7
1545 2018 Svealand 31 - 40 years old 250.8
1546 2018 Götaland 31 - 40 years old 80.8
1547 2018 Götaland 31 - 40 years old 60.7
1548 2018 Götaland 31 - 40 years old 85.1
1549 2018 Götaland 31 - 40 years old 14.9
1550 2018 Götaland 31 - 40 years old 24.7
1551 2018 Götaland 31 - 40 years old 38.9
1552 2018 Götaland 31 - 40 years old 23.9
1553 2018 Götaland 31 - 40 years old 120.7
1554 2019 Norra Norrland 31 - 40 years old 337.4
1555 2019 Norra Norrland 31 - 40 years old 323.2
1556 2019 Södra Norrland 31 - 40 years old 176.8
1557 2019 Södra Norrland 31 - 40 years old 207.6
1558 2019 Södra Norrland 31 - 40 years old 319.0
1559 2019 Svealand 31 - 40 years old 34.8
1560 2019 Svealand 31 - 40 years old 58.0
1561 2019 Svealand 31 - 40 years old 34.3
1562 2019 Svealand 31 - 40 years old 74.3
1563 2019 Svealand 31 - 40 years old 165.7
1564 2019 Svealand 31 - 40 years old 77.6
1565 2019 Svealand 31 - 40 years old 38.6
1566 2019 Svealand 31 - 40 years old 252.8
1567 2019 Götaland 31 - 40 years old 78.1
1568 2019 Götaland 31 - 40 years old 58.0
1569 2019 Götaland 31 - 40 years old 86.9
1570 2019 Götaland 31 - 40 years old 13.7
1571 2019 Götaland 31 - 40 years old 22.6
1572 2019 Götaland 31 - 40 years old 35.3
1573 2019 Götaland 31 - 40 years old 27.4
1574 2019 Götaland 31 - 40 years old 125.2
1575 2005 Norra Norrland 41 - 60 years old 477.3
1576 2005 Norra Norrland 41 - 60 years old 631.8
1577 2005 Södra Norrland 41 - 60 years old 250.3
1578 2005 Södra Norrland 41 - 60 years old 220.4
1579 2005 Södra Norrland 41 - 60 years old 255.7
1580 2005 Svealand 41 - 60 years old 47.4
1581 2005 Svealand 41 - 60 years old 82.8
1582 2005 Svealand 41 - 60 years old 76.4
1583 2005 Svealand 41 - 60 years old 114.6
1584 2005 Svealand 41 - 60 years old 289.8
1585 2005 Svealand 41 - 60 years old 93.5
1586 2005 Svealand 41 - 60 years old 49.1
1587 2005 Svealand 41 - 60 years old 225.3
1588 2005 Götaland 41 - 60 years old 121.8
1589 2005 Götaland 41 - 60 years old 98.7
1590 2005 Götaland 41 - 60 years old 124.7
1591 2005 Götaland 41 - 60 years old 10.4
1592 2005 Götaland 41 - 60 years old 31.7
1593 2005 Götaland 41 - 60 years old 98.3
1594 2005 Götaland 41 - 60 years old 55.3
1595 2005 Götaland 41 - 60 years old 211.8
1596 2006 Norra Norrland 41 - 60 years old 499.0
1597 2006 Norra Norrland 41 - 60 years old 630.1
1598 2006 Södra Norrland 41 - 60 years old 254.4
1599 2006 Södra Norrland 41 - 60 years old 231.1
1600 2006 Södra Norrland 41 - 60 years old 259.0
1601 2006 Svealand 41 - 60 years old 46.4
1602 2006 Svealand 41 - 60 years old 81.7
1603 2006 Svealand 41 - 60 years old 73.8
1604 2006 Svealand 41 - 60 years old 120.0
1605 2006 Svealand 41 - 60 years old 291.5
1606 2006 Svealand 41 - 60 years old 92.1
1607 2006 Svealand 41 - 60 years old 53.5
1608 2006 Svealand 41 - 60 years old 248.4
1609 2006 Götaland 41 - 60 years old 116.9
1610 2006 Götaland 41 - 60 years old 92.1
1611 2006 Götaland 41 - 60 years old 129.6
1612 2006 Götaland 41 - 60 years old 9.6
1613 2006 Götaland 41 - 60 years old 28.9
1614 2006 Götaland 41 - 60 years old 95.7
1615 2006 Götaland 41 - 60 years old 53.6
1616 2006 Götaland 41 - 60 years old 228.7
1617 2007 Norra Norrland 41 - 60 years old 513.1
1618 2007 Norra Norrland 41 - 60 years old 639.8
1619 2007 Södra Norrland 41 - 60 years old 262.0
1620 2007 Södra Norrland 41 - 60 years old 238.5
1621 2007 Södra Norrland 41 - 60 years old 276.3
1622 2007 Svealand 41 - 60 years old 46.0
1623 2007 Svealand 41 - 60 years old 79.5
1624 2007 Svealand 41 - 60 years old 71.1
1625 2007 Svealand 41 - 60 years old 122.6
1626 2007 Svealand 41 - 60 years old 299.1
1627 2007 Svealand 41 - 60 years old 98.6
1628 2007 Svealand 41 - 60 years old 58.1
1629 2007 Svealand 41 - 60 years old 249.8
1630 2007 Götaland 41 - 60 years old 116.0
1631 2007 Götaland 41 - 60 years old 87.5
1632 2007 Götaland 41 - 60 years old 136.4
1633 2007 Götaland 41 - 60 years old 9.6
1634 2007 Götaland 41 - 60 years old 31.1
1635 2007 Götaland 41 - 60 years old 95.2
1636 2007 Götaland 41 - 60 years old 59.5
1637 2007 Götaland 41 - 60 years old 224.8
1638 2008 Norra Norrland 41 - 60 years old 517.3
1639 2008 Norra Norrland 41 - 60 years old 662.3
1640 2008 Södra Norrland 41 - 60 years old 265.1
1641 2008 Södra Norrland 41 - 60 years old 243.8
1642 2008 Södra Norrland 41 - 60 years old 295.3
1643 2008 Svealand 41 - 60 years old 46.0
1644 2008 Svealand 41 - 60 years old 82.2
1645 2008 Svealand 41 - 60 years old 81.6
1646 2008 Svealand 41 - 60 years old 123.8
1647 2008 Svealand 41 - 60 years old 309.7
1648 2008 Svealand 41 - 60 years old 98.1
1649 2008 Svealand 41 - 60 years old 56.8
1650 2008 Svealand 41 - 60 years old 251.4
1651 2008 Götaland 41 - 60 years old 116.4
1652 2008 Götaland 41 - 60 years old 87.4
1653 2008 Götaland 41 - 60 years old 129.7
1654 2008 Götaland 41 - 60 years old 9.0
1655 2008 Götaland 41 - 60 years old 24.9
1656 2008 Götaland 41 - 60 years old 90.6
1657 2008 Götaland 41 - 60 years old 58.8
1658 2008 Götaland 41 - 60 years old 232.1
1659 2009 Norra Norrland 41 - 60 years old 508.5
1660 2009 Norra Norrland 41 - 60 years old 672.0
1661 2009 Södra Norrland 41 - 60 years old 257.8
1662 2009 Södra Norrland 41 - 60 years old 254.3
1663 2009 Södra Norrland 41 - 60 years old 322.4
1664 2009 Svealand 41 - 60 years old 43.8
1665 2009 Svealand 41 - 60 years old 81.9
1666 2009 Svealand 41 - 60 years old 85.7
1667 2009 Svealand 41 - 60 years old 129.2
1668 2009 Svealand 41 - 60 years old 317.4
1669 2009 Svealand 41 - 60 years old 105.8
1670 2009 Svealand 41 - 60 years old 61.2
1671 2009 Svealand 41 - 60 years old 259.7
1672 2009 Götaland 41 - 60 years old 115.7
1673 2009 Götaland 41 - 60 years old 90.4
1674 2009 Götaland 41 - 60 years old 131.5
1675 2009 Götaland 41 - 60 years old 8.6
1676 2009 Götaland 41 - 60 years old 23.2
1677 2009 Götaland 41 - 60 years old 88.5
1678 2009 Götaland 41 - 60 years old 61.3
1679 2009 Götaland 41 - 60 years old 247.7
1680 2010 Norra Norrland 41 - 60 years old 484.6
1681 2010 Norra Norrland 41 - 60 years old 669.7
1682 2010 Södra Norrland 41 - 60 years old 276.2
1683 2010 Södra Norrland 41 - 60 years old 266.6
1684 2010 Södra Norrland 41 - 60 years old 341.3
1685 2010 Svealand 41 - 60 years old 42.1
1686 2010 Svealand 41 - 60 years old 85.0
1687 2010 Svealand 41 - 60 years old 85.7
1688 2010 Svealand 41 - 60 years old 134.9
1689 2010 Svealand 41 - 60 years old 330.0
1690 2010 Svealand 41 - 60 years old 115.7
1691 2010 Svealand 41 - 60 years old 64.0
1692 2010 Svealand 41 - 60 years old 269.6
1693 2010 Götaland 41 - 60 years old 115.3
1694 2010 Götaland 41 - 60 years old 93.6
1695 2010 Götaland 41 - 60 years old 123.8
1696 2010 Götaland 41 - 60 years old 8.5
1697 2010 Götaland 41 - 60 years old 25.3
1698 2010 Götaland 41 - 60 years old 85.8
1699 2010 Götaland 41 - 60 years old 66.2
1700 2010 Götaland 41 - 60 years old 255.3
1701 2011 Norra Norrland 41 - 60 years old 468.2
1702 2011 Norra Norrland 41 - 60 years old 663.2
1703 2011 Södra Norrland 41 - 60 years old 282.9
1704 2011 Södra Norrland 41 - 60 years old 271.7
1705 2011 Södra Norrland 41 - 60 years old 351.3
1706 2011 Svealand 41 - 60 years old 43.9
1707 2011 Svealand 41 - 60 years old 90.9
1708 2011 Svealand 41 - 60 years old 81.2
1709 2011 Svealand 41 - 60 years old 137.6
1710 2011 Svealand 41 - 60 years old 326.5
1711 2011 Svealand 41 - 60 years old 123.1
1712 2011 Svealand 41 - 60 years old 64.3
1713 2011 Svealand 41 - 60 years old 271.5
1714 2011 Götaland 41 - 60 years old 118.9
1715 2011 Götaland 41 - 60 years old 97.1
1716 2011 Götaland 41 - 60 years old 127.9
1717 2011 Götaland 41 - 60 years old 9.6
1718 2011 Götaland 41 - 60 years old 27.4
1719 2011 Götaland 41 - 60 years old 83.2
1720 2011 Götaland 41 - 60 years old 62.2
1721 2011 Götaland 41 - 60 years old 257.1
1722 2012 Norra Norrland 41 - 60 years old 473.9
1723 2012 Norra Norrland 41 - 60 years old 644.5
1724 2012 Södra Norrland 41 - 60 years old 287.9
1725 2012 Södra Norrland 41 - 60 years old 307.8
1726 2012 Södra Norrland 41 - 60 years old 367.7
1727 2012 Svealand 41 - 60 years old 47.2
1728 2012 Svealand 41 - 60 years old 94.8
1729 2012 Svealand 41 - 60 years old 83.3
1730 2012 Svealand 41 - 60 years old 149.6
1731 2012 Svealand 41 - 60 years old 325.8
1732 2012 Svealand 41 - 60 years old 122.5
1733 2012 Svealand 41 - 60 years old 59.7
1734 2012 Svealand 41 - 60 years old 276.4
1735 2012 Götaland 41 - 60 years old 119.4
1736 2012 Götaland 41 - 60 years old 100.1
1737 2012 Götaland 41 - 60 years old 131.6
1738 2012 Götaland 41 - 60 years old 10.1
1739 2012 Götaland 41 - 60 years old 26.2
1740 2012 Götaland 41 - 60 years old 81.7
1741 2012 Götaland 41 - 60 years old 65.2
1742 2012 Götaland 41 - 60 years old 260.6
1743 2013 Norra Norrland 41 - 60 years old 476.7
1744 2013 Norra Norrland 41 - 60 years old 650.8
1745 2013 Södra Norrland 41 - 60 years old 301.4
1746 2013 Södra Norrland 41 - 60 years old 322.5
1747 2013 Södra Norrland 41 - 60 years old 373.1
1748 2013 Svealand 41 - 60 years old 54.2
1749 2013 Svealand 41 - 60 years old 98.4
1750 2013 Svealand 41 - 60 years old 79.0
1751 2013 Svealand 41 - 60 years old 151.2
1752 2013 Svealand 41 - 60 years old 339.0
1753 2013 Svealand 41 - 60 years old 130.0
1754 2013 Svealand 41 - 60 years old 66.2
1755 2013 Svealand 41 - 60 years old 293.0
1756 2013 Götaland 41 - 60 years old 127.1
1757 2013 Götaland 41 - 60 years old 110.5
1758 2013 Götaland 41 - 60 years old 140.6
1759 2013 Götaland 41 - 60 years old 12.2
1760 2013 Götaland 41 - 60 years old 31.1
1761 2013 Götaland 41 - 60 years old 83.8
1762 2013 Götaland 41 - 60 years old 67.7
1763 2013 Götaland 41 - 60 years old 274.0
1764 2014 Norra Norrland 41 - 60 years old 509.3
1765 2014 Norra Norrland 41 - 60 years old 634.9
1766 2014 Södra Norrland 41 - 60 years old 302.9
1767 2014 Södra Norrland 41 - 60 years old 324.5
1768 2014 Södra Norrland 41 - 60 years old 366.2
1769 2014 Svealand 41 - 60 years old 57.9
1770 2014 Svealand 41 - 60 years old 96.3
1771 2014 Svealand 41 - 60 years old 78.9
1772 2014 Svealand 41 - 60 years old 151.2
1773 2014 Svealand 41 - 60 years old 335.4
1774 2014 Svealand 41 - 60 years old 133.2
1775 2014 Svealand 41 - 60 years old 63.4
1776 2014 Svealand 41 - 60 years old 300.9
1777 2014 Götaland 41 - 60 years old 130.0
1778 2014 Götaland 41 - 60 years old 114.8
1779 2014 Götaland 41 - 60 years old 140.8
1780 2014 Götaland 41 - 60 years old 15.7
1781 2014 Götaland 41 - 60 years old 36.7
1782 2014 Götaland 41 - 60 years old 86.7
1783 2014 Götaland 41 - 60 years old 61.6
1784 2014 Götaland 41 - 60 years old 274.7
1785 2015 Norra Norrland 41 - 60 years old 521.5
1786 2015 Norra Norrland 41 - 60 years old 676.1
1787 2015 Södra Norrland 41 - 60 years old 297.4
1788 2015 Södra Norrland 41 - 60 years old 340.8
1789 2015 Södra Norrland 41 - 60 years old 367.4
1790 2015 Svealand 41 - 60 years old 60.4
1791 2015 Svealand 41 - 60 years old 99.1
1792 2015 Svealand 41 - 60 years old 75.9
1793 2015 Svealand 41 - 60 years old 154.7
1794 2015 Svealand 41 - 60 years old 324.1
1795 2015 Svealand 41 - 60 years old 142.9
1796 2015 Svealand 41 - 60 years old 62.8
1797 2015 Svealand 41 - 60 years old 312.8
1798 2015 Götaland 41 - 60 years old 132.1
1799 2015 Götaland 41 - 60 years old 116.0
1800 2015 Götaland 41 - 60 years old 148.0
1801 2015 Götaland 41 - 60 years old 16.7
1802 2015 Götaland 41 - 60 years old 37.5
1803 2015 Götaland 41 - 60 years old 85.7
1804 2015 Götaland 41 - 60 years old 60.2
1805 2015 Götaland 41 - 60 years old 278.1
1806 2016 Norra Norrland 41 - 60 years old 556.5
1807 2016 Norra Norrland 41 - 60 years old 679.5
1808 2016 Södra Norrland 41 - 60 years old 293.7
1809 2016 Södra Norrland 41 - 60 years old 328.9
1810 2016 Södra Norrland 41 - 60 years old 366.9
1811 2016 Svealand 41 - 60 years old 64.5
1812 2016 Svealand 41 - 60 years old 94.5
1813 2016 Svealand 41 - 60 years old 73.9
1814 2016 Svealand 41 - 60 years old 161.9
1815 2016 Svealand 41 - 60 years old 335.0
1816 2016 Svealand 41 - 60 years old 153.3
1817 2016 Svealand 41 - 60 years old 61.1
1818 2016 Svealand 41 - 60 years old 328.6
1819 2016 Götaland 41 - 60 years old 132.9
1820 2016 Götaland 41 - 60 years old 122.9
1821 2016 Götaland 41 - 60 years old 147.8
1822 2016 Götaland 41 - 60 years old 17.7
1823 2016 Götaland 41 - 60 years old 40.0
1824 2016 Götaland 41 - 60 years old 85.3
1825 2016 Götaland 41 - 60 years old 62.0
1826 2016 Götaland 41 - 60 years old 276.8
1827 2017 Norra Norrland 41 - 60 years old 544.0
1828 2017 Norra Norrland 41 - 60 years old 668.4
1829 2017 Södra Norrland 41 - 60 years old 301.4
1830 2017 Södra Norrland 41 - 60 years old 319.4
1831 2017 Södra Norrland 41 - 60 years old 370.5
1832 2017 Svealand 41 - 60 years old 60.3
1833 2017 Svealand 41 - 60 years old 96.4
1834 2017 Svealand 41 - 60 years old 75.7
1835 2017 Svealand 41 - 60 years old 156.7
1836 2017 Svealand 41 - 60 years old 334.8
1837 2017 Svealand 41 - 60 years old 157.1
1838 2017 Svealand 41 - 60 years old 61.7
1839 2017 Svealand 41 - 60 years old 338.1
1840 2017 Götaland 41 - 60 years old 137.2
1841 2017 Götaland 41 - 60 years old 121.5
1842 2017 Götaland 41 - 60 years old 145.3
1843 2017 Götaland 41 - 60 years old 18.7
1844 2017 Götaland 41 - 60 years old 43.7
1845 2017 Götaland 41 - 60 years old 85.4
1846 2017 Götaland 41 - 60 years old 62.3
1847 2017 Götaland 41 - 60 years old 280.8
1848 2018 Norra Norrland 41 - 60 years old 523.4
1849 2018 Norra Norrland 41 - 60 years old 651.0
1850 2018 Södra Norrland 41 - 60 years old 293.5
1851 2018 Södra Norrland 41 - 60 years old 326.2
1852 2018 Södra Norrland 41 - 60 years old 381.4
1853 2018 Svealand 41 - 60 years old 63.3
1854 2018 Svealand 41 - 60 years old 94.3
1855 2018 Svealand 41 - 60 years old 75.6
1856 2018 Svealand 41 - 60 years old 160.5
1857 2018 Svealand 41 - 60 years old 327.2
1858 2018 Svealand 41 - 60 years old 159.4
1859 2018 Svealand 41 - 60 years old 57.6
1860 2018 Svealand 41 - 60 years old 339.3
1861 2018 Götaland 41 - 60 years old 129.3
1862 2018 Götaland 41 - 60 years old 123.6
1863 2018 Götaland 41 - 60 years old 143.2
1864 2018 Götaland 41 - 60 years old 15.9
1865 2018 Götaland 41 - 60 years old 40.2
1866 2018 Götaland 41 - 60 years old 82.4
1867 2018 Götaland 41 - 60 years old 63.4
1868 2018 Götaland 41 - 60 years old 286.4
1869 2019 Norra Norrland 41 - 60 years old 512.4
1870 2019 Norra Norrland 41 - 60 years old 679.7
1871 2019 Södra Norrland 41 - 60 years old 295.6
1872 2019 Södra Norrland 41 - 60 years old 341.0
1873 2019 Södra Norrland 41 - 60 years old 388.1
1874 2019 Svealand 41 - 60 years old 61.1
1875 2019 Svealand 41 - 60 years old 92.8
1876 2019 Svealand 41 - 60 years old 70.8
1877 2019 Svealand 41 - 60 years old 161.0
1878 2019 Svealand 41 - 60 years old 324.5
1879 2019 Svealand 41 - 60 years old 155.8
1880 2019 Svealand 41 - 60 years old 58.7
1881 2019 Svealand 41 - 60 years old 342.0
1882 2019 Götaland 41 - 60 years old 133.4
1883 2019 Götaland 41 - 60 years old 127.1
1884 2019 Götaland 41 - 60 years old 145.7
1885 2019 Götaland 41 - 60 years old 16.0
1886 2019 Götaland 41 - 60 years old 39.7
1887 2019 Götaland 41 - 60 years old 78.6
1888 2019 Götaland 41 - 60 years old 62.3
1889 2019 Götaland 41 - 60 years old 280.3
1890 2005 Norra Norrland 61 - 80 years old 325.8
1891 2005 Norra Norrland 61 - 80 years old 442.7
1892 2005 Södra Norrland 61 - 80 years old 144.9
1893 2005 Södra Norrland 61 - 80 years old 157.4
1894 2005 Södra Norrland 61 - 80 years old 132.4
1895 2005 Svealand 61 - 80 years old 46.8
1896 2005 Svealand 61 - 80 years old 79.0
1897 2005 Svealand 61 - 80 years old 55.7
1898 2005 Svealand 61 - 80 years old 81.8
1899 2005 Svealand 61 - 80 years old 106.7
1900 2005 Svealand 61 - 80 years old 74.7
1901 2005 Svealand 61 - 80 years old 37.4
1902 2005 Svealand 61 - 80 years old 120.5
1903 2005 Götaland 61 - 80 years old 108.9
1904 2005 Götaland 61 - 80 years old 112.1
1905 2005 Götaland 61 - 80 years old 123.5
1906 2005 Götaland 61 - 80 years old 11.8
1907 2005 Götaland 61 - 80 years old 38.9
1908 2005 Götaland 61 - 80 years old 60.3
1909 2005 Götaland 61 - 80 years old 62.4
1910 2005 Götaland 61 - 80 years old 180.9
1911 2006 Norra Norrland 61 - 80 years old 337.9
1912 2006 Norra Norrland 61 - 80 years old 440.2
1913 2006 Södra Norrland 61 - 80 years old 146.6
1914 2006 Södra Norrland 61 - 80 years old 134.5
1915 2006 Södra Norrland 61 - 80 years old 118.9
1916 2006 Svealand 61 - 80 years old 46.7
1917 2006 Svealand 61 - 80 years old 73.1
1918 2006 Svealand 61 - 80 years old 55.2
1919 2006 Svealand 61 - 80 years old 79.8
1920 2006 Svealand 61 - 80 years old 115.0
1921 2006 Svealand 61 - 80 years old 71.5
1922 2006 Svealand 61 - 80 years old 34.7
1923 2006 Svealand 61 - 80 years old 128.6
1924 2006 Götaland 61 - 80 years old 93.5
1925 2006 Götaland 61 - 80 years old 107.0
1926 2006 Götaland 61 - 80 years old 127.4
1927 2006 Götaland 61 - 80 years old 15.3
1928 2006 Götaland 61 - 80 years old 43.6
1929 2006 Götaland 61 - 80 years old 60.8
1930 2006 Götaland 61 - 80 years old 64.8
1931 2006 Götaland 61 - 80 years old 174.9
1932 2007 Norra Norrland 61 - 80 years old 332.7
1933 2007 Norra Norrland 61 - 80 years old 431.9
1934 2007 Södra Norrland 61 - 80 years old 143.3
1935 2007 Södra Norrland 61 - 80 years old 126.0
1936 2007 Södra Norrland 61 - 80 years old 121.0
1937 2007 Svealand 61 - 80 years old 48.5
1938 2007 Svealand 61 - 80 years old 69.3
1939 2007 Svealand 61 - 80 years old 52.1
1940 2007 Svealand 61 - 80 years old 81.7
1941 2007 Svealand 61 - 80 years old 122.0
1942 2007 Svealand 61 - 80 years old 70.3
1943 2007 Svealand 61 - 80 years old 30.9
1944 2007 Svealand 61 - 80 years old 130.2
1945 2007 Götaland 61 - 80 years old 92.4
1946 2007 Götaland 61 - 80 years old 98.6
1947 2007 Götaland 61 - 80 years old 130.7
1948 2007 Götaland 61 - 80 years old 14.5
1949 2007 Götaland 61 - 80 years old 40.2
1950 2007 Götaland 61 - 80 years old 56.3
1951 2007 Götaland 61 - 80 years old 63.8
1952 2007 Götaland 61 - 80 years old 175.1
1953 2008 Norra Norrland 61 - 80 years old 333.8
1954 2008 Norra Norrland 61 - 80 years old 418.3
1955 2008 Södra Norrland 61 - 80 years old 137.0
1956 2008 Södra Norrland 61 - 80 years old 124.8
1957 2008 Södra Norrland 61 - 80 years old 121.6
1958 2008 Svealand 61 - 80 years old 48.1
1959 2008 Svealand 61 - 80 years old 66.9
1960 2008 Svealand 61 - 80 years old 57.8
1961 2008 Svealand 61 - 80 years old 79.9
1962 2008 Svealand 61 - 80 years old 120.5
1963 2008 Svealand 61 - 80 years old 74.9
1964 2008 Svealand 61 - 80 years old 33.4
1965 2008 Svealand 61 - 80 years old 136.6
1966 2008 Götaland 61 - 80 years old 79.9
1967 2008 Götaland 61 - 80 years old 94.9
1968 2008 Götaland 61 - 80 years old 127.5
1969 2008 Götaland 61 - 80 years old 19.5
1970 2008 Götaland 61 - 80 years old 36.9
1971 2008 Götaland 61 - 80 years old 52.0
1972 2008 Götaland 61 - 80 years old 62.1
1973 2008 Götaland 61 - 80 years old 166.0
1974 2009 Norra Norrland 61 - 80 years old 332.4
1975 2009 Norra Norrland 61 - 80 years old 428.2
1976 2009 Södra Norrland 61 - 80 years old 149.3
1977 2009 Södra Norrland 61 - 80 years old 129.5
1978 2009 Södra Norrland 61 - 80 years old 124.8
1979 2009 Svealand 61 - 80 years old 47.7
1980 2009 Svealand 61 - 80 years old 67.5
1981 2009 Svealand 61 - 80 years old 56.2
1982 2009 Svealand 61 - 80 years old 78.0
1983 2009 Svealand 61 - 80 years old 124.2
1984 2009 Svealand 61 - 80 years old 77.3
1985 2009 Svealand 61 - 80 years old 34.0
1986 2009 Svealand 61 - 80 years old 133.5
1987 2009 Götaland 61 - 80 years old 81.0
1988 2009 Götaland 61 - 80 years old 88.8
1989 2009 Götaland 61 - 80 years old 118.4
1990 2009 Götaland 61 - 80 years old 18.9
1991 2009 Götaland 61 - 80 years old 35.3
1992 2009 Götaland 61 - 80 years old 50.8
1993 2009 Götaland 61 - 80 years old 62.5
1994 2009 Götaland 61 - 80 years old 164.5
1995 2010 Norra Norrland 61 - 80 years old 348.2
1996 2010 Norra Norrland 61 - 80 years old 432.4
1997 2010 Södra Norrland 61 - 80 years old 153.5
1998 2010 Södra Norrland 61 - 80 years old 110.6
1999 2010 Södra Norrland 61 - 80 years old 128.2
2000 2010 Svealand 61 - 80 years old 45.0
2001 2010 Svealand 61 - 80 years old 67.3
2002 2010 Svealand 61 - 80 years old 58.1
2003 2010 Svealand 61 - 80 years old 76.1
2004 2010 Svealand 61 - 80 years old 115.0
2005 2010 Svealand 61 - 80 years old 71.0
2006 2010 Svealand 61 - 80 years old 28.3
2007 2010 Svealand 61 - 80 years old 129.5
2008 2010 Götaland 61 - 80 years old 81.7
2009 2010 Götaland 61 - 80 years old 79.9
2010 2010 Götaland 61 - 80 years old 112.6
2011 2010 Götaland 61 - 80 years old 18.6
2012 2010 Götaland 61 - 80 years old 35.4
2013 2010 Götaland 61 - 80 years old 57.4
2014 2010 Götaland 61 - 80 years old 68.2
2015 2010 Götaland 61 - 80 years old 163.3
2016 2011 Norra Norrland 61 - 80 years old 337.0
2017 2011 Norra Norrland 61 - 80 years old 463.1
2018 2011 Södra Norrland 61 - 80 years old 157.4
2019 2011 Södra Norrland 61 - 80 years old 113.9
2020 2011 Södra Norrland 61 - 80 years old 129.7
2021 2011 Svealand 61 - 80 years old 42.5
2022 2011 Svealand 61 - 80 years old 68.2
2023 2011 Svealand 61 - 80 years old 55.9
2024 2011 Svealand 61 - 80 years old 74.6
2025 2011 Svealand 61 - 80 years old 108.7
2026 2011 Svealand 61 - 80 years old 69.3
2027 2011 Svealand 61 - 80 years old 31.8
2028 2011 Svealand 61 - 80 years old 122.5
2029 2011 Götaland 61 - 80 years old 88.5
2030 2011 Götaland 61 - 80 years old 79.2
2031 2011 Götaland 61 - 80 years old 106.0
2032 2011 Götaland 61 - 80 years old 16.2
2033 2011 Götaland 61 - 80 years old 32.1
2034 2011 Götaland 61 - 80 years old 59.5
2035 2011 Götaland 61 - 80 years old 63.6
2036 2011 Götaland 61 - 80 years old 158.8
2037 2012 Norra Norrland 61 - 80 years old 350.7
2038 2012 Norra Norrland 61 - 80 years old 497.8
2039 2012 Södra Norrland 61 - 80 years old 157.7
2040 2012 Södra Norrland 61 - 80 years old 117.9
2041 2012 Södra Norrland 61 - 80 years old 138.0
2042 2012 Svealand 61 - 80 years old 38.0
2043 2012 Svealand 61 - 80 years old 62.3
2044 2012 Svealand 61 - 80 years old 61.9
2045 2012 Svealand 61 - 80 years old 70.7
2046 2012 Svealand 61 - 80 years old 116.6
2047 2012 Svealand 61 - 80 years old 69.7
2048 2012 Svealand 61 - 80 years old 33.0
2049 2012 Svealand 61 - 80 years old 129.5
2050 2012 Götaland 61 - 80 years old 83.6
2051 2012 Götaland 61 - 80 years old 73.8
2052 2012 Götaland 61 - 80 years old 96.9
2053 2012 Götaland 61 - 80 years old 17.3
2054 2012 Götaland 61 - 80 years old 32.7
2055 2012 Götaland 61 - 80 years old 66.3
2056 2012 Götaland 61 - 80 years old 63.7
2057 2012 Götaland 61 - 80 years old 152.7
2058 2013 Norra Norrland 61 - 80 years old 357.4
2059 2013 Norra Norrland 61 - 80 years old 508.3
2060 2013 Södra Norrland 61 - 80 years old 165.7
2061 2013 Södra Norrland 61 - 80 years old 117.3
2062 2013 Södra Norrland 61 - 80 years old 141.7
2063 2013 Svealand 61 - 80 years old 36.2
2064 2013 Svealand 61 - 80 years old 59.4
2065 2013 Svealand 61 - 80 years old 60.7
2066 2013 Svealand 61 - 80 years old 73.1
2067 2013 Svealand 61 - 80 years old 121.6
2068 2013 Svealand 61 - 80 years old 65.3
2069 2013 Svealand 61 - 80 years old 30.7
2070 2013 Svealand 61 - 80 years old 131.9
2071 2013 Götaland 61 - 80 years old 83.7
2072 2013 Götaland 61 - 80 years old 72.9
2073 2013 Götaland 61 - 80 years old 87.8
2074 2013 Götaland 61 - 80 years old 11.0
2075 2013 Götaland 61 - 80 years old 31.0
2076 2013 Götaland 61 - 80 years old 67.6
2077 2013 Götaland 61 - 80 years old 63.0
2078 2013 Götaland 61 - 80 years old 153.4
2079 2014 Norra Norrland 61 - 80 years old 375.1
2080 2014 Norra Norrland 61 - 80 years old 507.4
2081 2014 Södra Norrland 61 - 80 years old 160.6
2082 2014 Södra Norrland 61 - 80 years old 122.4
2083 2014 Södra Norrland 61 - 80 years old 139.2
2084 2014 Svealand 61 - 80 years old 31.6
2085 2014 Svealand 61 - 80 years old 60.5
2086 2014 Svealand 61 - 80 years old 62.0
2087 2014 Svealand 61 - 80 years old 65.5
2088 2014 Svealand 61 - 80 years old 126.4
2089 2014 Svealand 61 - 80 years old 64.0
2090 2014 Svealand 61 - 80 years old 30.9
2091 2014 Svealand 61 - 80 years old 132.3
2092 2014 Götaland 61 - 80 years old 84.1
2093 2014 Götaland 61 - 80 years old 74.0
2094 2014 Götaland 61 - 80 years old 88.2
2095 2014 Götaland 61 - 80 years old 12.1
2096 2014 Götaland 61 - 80 years old 32.7
2097 2014 Götaland 61 - 80 years old 66.6
2098 2014 Götaland 61 - 80 years old 57.3
2099 2014 Götaland 61 - 80 years old 153.6
2100 2015 Norra Norrland 61 - 80 years old 376.2
2101 2015 Norra Norrland 61 - 80 years old 522.0
2102 2015 Södra Norrland 61 - 80 years old 168.0
2103 2015 Södra Norrland 61 - 80 years old 121.7
2104 2015 Södra Norrland 61 - 80 years old 142.7
2105 2015 Svealand 61 - 80 years old 32.9
2106 2015 Svealand 61 - 80 years old 60.3
2107 2015 Svealand 61 - 80 years old 62.0
2108 2015 Svealand 61 - 80 years old 65.5
2109 2015 Svealand 61 - 80 years old 146.6
2110 2015 Svealand 61 - 80 years old 55.2
2111 2015 Svealand 61 - 80 years old 35.6
2112 2015 Svealand 61 - 80 years old 135.9
2113 2015 Götaland 61 - 80 years old 85.7
2114 2015 Götaland 61 - 80 years old 70.8
2115 2015 Götaland 61 - 80 years old 83.2
2116 2015 Götaland 61 - 80 years old 11.5
2117 2015 Götaland 61 - 80 years old 28.1
2118 2015 Götaland 61 - 80 years old 61.6
2119 2015 Götaland 61 - 80 years old 53.4
2120 2015 Götaland 61 - 80 years old 148.8
2121 2016 Norra Norrland 61 - 80 years old 385.4
2122 2016 Norra Norrland 61 - 80 years old 499.5
2123 2016 Södra Norrland 61 - 80 years old 167.8
2124 2016 Södra Norrland 61 - 80 years old 129.1
2125 2016 Södra Norrland 61 - 80 years old 146.4
2126 2016 Svealand 61 - 80 years old 35.7
2127 2016 Svealand 61 - 80 years old 62.9
2128 2016 Svealand 61 - 80 years old 62.5
2129 2016 Svealand 61 - 80 years old 68.0
2130 2016 Svealand 61 - 80 years old 158.6
2131 2016 Svealand 61 - 80 years old 53.8
2132 2016 Svealand 61 - 80 years old 35.1
2133 2016 Svealand 61 - 80 years old 142.4
2134 2016 Götaland 61 - 80 years old 85.1
2135 2016 Götaland 61 - 80 years old 70.1
2136 2016 Götaland 61 - 80 years old 87.3
2137 2016 Götaland 61 - 80 years old 10.7
2138 2016 Götaland 61 - 80 years old 27.9
2139 2016 Götaland 61 - 80 years old 60.7
2140 2016 Götaland 61 - 80 years old 51.5
2141 2016 Götaland 61 - 80 years old 148.4
2142 2017 Norra Norrland 61 - 80 years old 389.8
2143 2017 Norra Norrland 61 - 80 years old 513.1
2144 2017 Södra Norrland 61 - 80 years old 174.8
2145 2017 Södra Norrland 61 - 80 years old 144.8
2146 2017 Södra Norrland 61 - 80 years old 156.4
2147 2017 Svealand 61 - 80 years old 39.1
2148 2017 Svealand 61 - 80 years old 63.3
2149 2017 Svealand 61 - 80 years old 61.8
2150 2017 Svealand 61 - 80 years old 70.1
2151 2017 Svealand 61 - 80 years old 173.5
2152 2017 Svealand 61 - 80 years old 57.1
2153 2017 Svealand 61 - 80 years old 35.3
2154 2017 Svealand 61 - 80 years old 144.9
2155 2017 Götaland 61 - 80 years old 87.0
2156 2017 Götaland 61 - 80 years old 72.1
2157 2017 Götaland 61 - 80 years old 87.9
2158 2017 Götaland 61 - 80 years old 10.1
2159 2017 Götaland 61 - 80 years old 30.5
2160 2017 Götaland 61 - 80 years old 57.9
2161 2017 Götaland 61 - 80 years old 49.3
2162 2017 Götaland 61 - 80 years old 149.9
2163 2018 Norra Norrland 61 - 80 years old 409.1
2164 2018 Norra Norrland 61 - 80 years old 525.1
2165 2018 Södra Norrland 61 - 80 years old 182.4
2166 2018 Södra Norrland 61 - 80 years old 159.1
2167 2018 Södra Norrland 61 - 80 years old 168.9
2168 2018 Svealand 61 - 80 years old 40.9
2169 2018 Svealand 61 - 80 years old 69.2
2170 2018 Svealand 61 - 80 years old 61.3
2171 2018 Svealand 61 - 80 years old 72.0
2172 2018 Svealand 61 - 80 years old 174.5
2173 2018 Svealand 61 - 80 years old 57.6
2174 2018 Svealand 61 - 80 years old 31.9
2175 2018 Svealand 61 - 80 years old 150.7
2176 2018 Götaland 61 - 80 years old 87.3
2177 2018 Götaland 61 - 80 years old 72.0
2178 2018 Götaland 61 - 80 years old 82.9
2179 2018 Götaland 61 - 80 years old 12.3
2180 2018 Götaland 61 - 80 years old 34.9
2181 2018 Götaland 61 - 80 years old 61.9
2182 2018 Götaland 61 - 80 years old 47.3
2183 2018 Götaland 61 - 80 years old 147.2
2184 2019 Norra Norrland 61 - 80 years old 422.4
2185 2019 Norra Norrland 61 - 80 years old 536.6
2186 2019 Södra Norrland 61 - 80 years old 200.1
2187 2019 Södra Norrland 61 - 80 years old 158.3
2188 2019 Södra Norrland 61 - 80 years old 176.9
2189 2019 Svealand 61 - 80 years old 44.4
2190 2019 Svealand 61 - 80 years old 67.8
2191 2019 Svealand 61 - 80 years old 60.7
2192 2019 Svealand 61 - 80 years old 76.5
2193 2019 Svealand 61 - 80 years old 177.6
2194 2019 Svealand 61 - 80 years old 57.2
2195 2019 Svealand 61 - 80 years old 32.9
2196 2019 Svealand 61 - 80 years old 160.1
2197 2019 Götaland 61 - 80 years old 88.3
2198 2019 Götaland 61 - 80 years old 66.8
2199 2019 Götaland 61 - 80 years old 80.1
2200 2019 Götaland 61 - 80 years old 12.9
2201 2019 Götaland 61 - 80 years old 28.7
2202 2019 Götaland 61 - 80 years old 66.4
2203 2019 Götaland 61 - 80 years old 50.9
2204 2019 Götaland 61 - 80 years old 139.5
2205 2005 Norra Norrland 81 - 100 years old 277.6
2206 2005 Norra Norrland 81 - 100 years old 359.5
2207 2005 Södra Norrland 81 - 100 years old 148.6
2208 2005 Södra Norrland 81 - 100 years old 162.6
2209 2005 Södra Norrland 81 - 100 years old 197.3
2210 2005 Svealand 81 - 100 years old 29.7
2211 2005 Svealand 81 - 100 years old 56.8
2212 2005 Svealand 81 - 100 years old 38.2
2213 2005 Svealand 81 - 100 years old 71.5
2214 2005 Svealand 81 - 100 years old 109.9
2215 2005 Svealand 81 - 100 years old 38.4
2216 2005 Svealand 81 - 100 years old 35.5
2217 2005 Svealand 81 - 100 years old 153.4
2218 2005 Götaland 81 - 100 years old 87.9
2219 2005 Götaland 81 - 100 years old 74.0
2220 2005 Götaland 81 - 100 years old 76.0
2221 2005 Götaland 81 - 100 years old 7.9
2222 2005 Götaland 81 - 100 years old 18.6
2223 2005 Götaland 81 - 100 years old 40.7
2224 2005 Götaland 81 - 100 years old 35.5
2225 2005 Götaland 81 - 100 years old 145.6
2226 2006 Norra Norrland 81 - 100 years old 273.3
2227 2006 Norra Norrland 81 - 100 years old 354.1
2228 2006 Södra Norrland 81 - 100 years old 143.5
2229 2006 Södra Norrland 81 - 100 years old 154.8
2230 2006 Södra Norrland 81 - 100 years old 189.4
2231 2006 Svealand 81 - 100 years old 29.8
2232 2006 Svealand 81 - 100 years old 58.3
2233 2006 Svealand 81 - 100 years old 37.0
2234 2006 Svealand 81 - 100 years old 72.2
2235 2006 Svealand 81 - 100 years old 111.9
2236 2006 Svealand 81 - 100 years old 39.6
2237 2006 Svealand 81 - 100 years old 35.2
2238 2006 Svealand 81 - 100 years old 143.8
2239 2006 Götaland 81 - 100 years old 92.6
2240 2006 Götaland 81 - 100 years old 69.6
2241 2006 Götaland 81 - 100 years old 72.4
2242 2006 Götaland 81 - 100 years old 8.9
2243 2006 Götaland 81 - 100 years old 13.8
2244 2006 Götaland 81 - 100 years old 38.7
2245 2006 Götaland 81 - 100 years old 34.8
2246 2006 Götaland 81 - 100 years old 147.6
2247 2007 Norra Norrland 81 - 100 years old 260.7
2248 2007 Norra Norrland 81 - 100 years old 356.7
2249 2007 Södra Norrland 81 - 100 years old 141.7
2250 2007 Södra Norrland 81 - 100 years old 138.1
2251 2007 Södra Norrland 81 - 100 years old 181.0
2252 2007 Svealand 81 - 100 years old 30.0
2253 2007 Svealand 81 - 100 years old 56.4
2254 2007 Svealand 81 - 100 years old 38.8
2255 2007 Svealand 81 - 100 years old 70.5
2256 2007 Svealand 81 - 100 years old 113.0
2257 2007 Svealand 81 - 100 years old 40.4
2258 2007 Svealand 81 - 100 years old 33.4
2259 2007 Svealand 81 - 100 years old 148.3
2260 2007 Götaland 81 - 100 years old 85.4
2261 2007 Götaland 81 - 100 years old 70.6
2262 2007 Götaland 81 - 100 years old 75.7
2263 2007 Götaland 81 - 100 years old 11.2
2264 2007 Götaland 81 - 100 years old 12.7
2265 2007 Götaland 81 - 100 years old 40.4
2266 2007 Götaland 81 - 100 years old 33.8
2267 2007 Götaland 81 - 100 years old 145.7
2268 2008 Norra Norrland 81 - 100 years old 280.1
2269 2008 Norra Norrland 81 - 100 years old 360.5
2270 2008 Södra Norrland 81 - 100 years old 139.3
2271 2008 Södra Norrland 81 - 100 years old 119.9
2272 2008 Södra Norrland 81 - 100 years old 173.0
2273 2008 Svealand 81 - 100 years old 28.7
2274 2008 Svealand 81 - 100 years old 56.2
2275 2008 Svealand 81 - 100 years old 37.4
2276 2008 Svealand 81 - 100 years old 69.5
2277 2008 Svealand 81 - 100 years old 110.9
2278 2008 Svealand 81 - 100 years old 40.9
2279 2008 Svealand 81 - 100 years old 31.4
2280 2008 Svealand 81 - 100 years old 135.6
2281 2008 Götaland 81 - 100 years old 89.2
2282 2008 Götaland 81 - 100 years old 70.9
2283 2008 Götaland 81 - 100 years old 74.7
2284 2008 Götaland 81 - 100 years old 11.6
2285 2008 Götaland 81 - 100 years old 14.1
2286 2008 Götaland 81 - 100 years old 40.5
2287 2008 Götaland 81 - 100 years old 35.8
2288 2008 Götaland 81 - 100 years old 142.2
2289 2009 Norra Norrland 81 - 100 years old 277.1
2290 2009 Norra Norrland 81 - 100 years old 353.9
2291 2009 Södra Norrland 81 - 100 years old 131.9
2292 2009 Södra Norrland 81 - 100 years old 124.4
2293 2009 Södra Norrland 81 - 100 years old 162.2
2294 2009 Svealand 81 - 100 years old 28.0
2295 2009 Svealand 81 - 100 years old 57.0
2296 2009 Svealand 81 - 100 years old 37.3
2297 2009 Svealand 81 - 100 years old 69.3
2298 2009 Svealand 81 - 100 years old 100.4
2299 2009 Svealand 81 - 100 years old 39.6
2300 2009 Svealand 81 - 100 years old 30.0
2301 2009 Svealand 81 - 100 years old 128.5
2302 2009 Götaland 81 - 100 years old 86.3
2303 2009 Götaland 81 - 100 years old 65.4
2304 2009 Götaland 81 - 100 years old 74.0
2305 2009 Götaland 81 - 100 years old 12.8
2306 2009 Götaland 81 - 100 years old 15.3
2307 2009 Götaland 81 - 100 years old 36.3
2308 2009 Götaland 81 - 100 years old 35.8
2309 2009 Götaland 81 - 100 years old 147.6
2310 2010 Norra Norrland 81 - 100 years old 282.8
2311 2010 Norra Norrland 81 - 100 years old 332.5
2312 2010 Södra Norrland 81 - 100 years old 120.5
2313 2010 Södra Norrland 81 - 100 years old 133.4
2314 2010 Södra Norrland 81 - 100 years old 176.1
2315 2010 Svealand 81 - 100 years old 28.9
2316 2010 Svealand 81 - 100 years old 59.6
2317 2010 Svealand 81 - 100 years old 36.8
2318 2010 Svealand 81 - 100 years old 67.9
2319 2010 Svealand 81 - 100 years old 99.4
2320 2010 Svealand 81 - 100 years old 43.2
2321 2010 Svealand 81 - 100 years old 31.7
2322 2010 Svealand 81 - 100 years old 128.6
2323 2010 Götaland 81 - 100 years old 89.7
2324 2010 Götaland 81 - 100 years old 67.2
2325 2010 Götaland 81 - 100 years old 77.0
2326 2010 Götaland 81 - 100 years old 14.1
2327 2010 Götaland 81 - 100 years old 18.0
2328 2010 Götaland 81 - 100 years old 33.4
2329 2010 Götaland 81 - 100 years old 33.7
2330 2010 Götaland 81 - 100 years old 149.7
2331 2011 Norra Norrland 81 - 100 years old 291.4
2332 2011 Norra Norrland 81 - 100 years old 337.3
2333 2011 Södra Norrland 81 - 100 years old 123.5
2334 2011 Södra Norrland 81 - 100 years old 131.1
2335 2011 Södra Norrland 81 - 100 years old 179.2
2336 2011 Svealand 81 - 100 years old 28.0
2337 2011 Svealand 81 - 100 years old 59.4
2338 2011 Svealand 81 - 100 years old 34.7
2339 2011 Svealand 81 - 100 years old 65.0
2340 2011 Svealand 81 - 100 years old 93.9
2341 2011 Svealand 81 - 100 years old 41.2
2342 2011 Svealand 81 - 100 years old 30.9
2343 2011 Svealand 81 - 100 years old 127.5
2344 2011 Götaland 81 - 100 years old 83.1
2345 2011 Götaland 81 - 100 years old 64.6
2346 2011 Götaland 81 - 100 years old 80.9
2347 2011 Götaland 81 - 100 years old 13.7
2348 2011 Götaland 81 - 100 years old 23.2
2349 2011 Götaland 81 - 100 years old 35.5
2350 2011 Götaland 81 - 100 years old 35.4
2351 2011 Götaland 81 - 100 years old 148.6
2352 2012 Norra Norrland 81 - 100 years old 305.2
2353 2012 Norra Norrland 81 - 100 years old 347.4
2354 2012 Södra Norrland 81 - 100 years old 119.3
2355 2012 Södra Norrland 81 - 100 years old 143.4
2356 2012 Södra Norrland 81 - 100 years old 186.8
2357 2012 Svealand 81 - 100 years old 31.1
2358 2012 Svealand 81 - 100 years old 55.9
2359 2012 Svealand 81 - 100 years old 36.2
2360 2012 Svealand 81 - 100 years old 58.0
2361 2012 Svealand 81 - 100 years old 85.6
2362 2012 Svealand 81 - 100 years old 41.2
2363 2012 Svealand 81 - 100 years old 31.3
2364 2012 Svealand 81 - 100 years old 117.7
2365 2012 Götaland 81 - 100 years old 84.7
2366 2012 Götaland 81 - 100 years old 67.0
2367 2012 Götaland 81 - 100 years old 81.2
2368 2012 Götaland 81 - 100 years old 13.2
2369 2012 Götaland 81 - 100 years old 28.0
2370 2012 Götaland 81 - 100 years old 38.8
2371 2012 Götaland 81 - 100 years old 35.5
2372 2012 Götaland 81 - 100 years old 147.4
2373 2013 Norra Norrland 81 - 100 years old 317.6
2374 2013 Norra Norrland 81 - 100 years old 352.9
2375 2013 Södra Norrland 81 - 100 years old 115.1
2376 2013 Södra Norrland 81 - 100 years old 139.3
2377 2013 Södra Norrland 81 - 100 years old 194.8
2378 2013 Svealand 81 - 100 years old 34.7
2379 2013 Svealand 81 - 100 years old 58.5
2380 2013 Svealand 81 - 100 years old 37.0
2381 2013 Svealand 81 - 100 years old 62.9
2382 2013 Svealand 81 - 100 years old 82.4
2383 2013 Svealand 81 - 100 years old 37.9
2384 2013 Svealand 81 - 100 years old 33.0
2385 2013 Svealand 81 - 100 years old 111.6
2386 2013 Götaland 81 - 100 years old 82.5
2387 2013 Götaland 81 - 100 years old 68.9
2388 2013 Götaland 81 - 100 years old 83.6
2389 2013 Götaland 81 - 100 years old 14.0
2390 2013 Götaland 81 - 100 years old 28.5
2391 2013 Götaland 81 - 100 years old 37.1
2392 2013 Götaland 81 - 100 years old 31.1
2393 2013 Götaland 81 - 100 years old 141.4
2394 2014 Norra Norrland 81 - 100 years old 318.6
2395 2014 Norra Norrland 81 - 100 years old 379.5
2396 2014 Södra Norrland 81 - 100 years old 114.2
2397 2014 Södra Norrland 81 - 100 years old 137.1
2398 2014 Södra Norrland 81 - 100 years old 183.0
2399 2014 Svealand 81 - 100 years old 44.0
2400 2014 Svealand 81 - 100 years old 60.8
2401 2014 Svealand 81 - 100 years old 34.2
2402 2014 Svealand 81 - 100 years old 55.7
2403 2014 Svealand 81 - 100 years old 81.9
2404 2014 Svealand 81 - 100 years old 41.1
2405 2014 Svealand 81 - 100 years old 31.2
2406 2014 Svealand 81 - 100 years old 103.9
2407 2014 Götaland 81 - 100 years old 81.1
2408 2014 Götaland 81 - 100 years old 65.8
2409 2014 Götaland 81 - 100 years old 80.9
2410 2014 Götaland 81 - 100 years old 15.0
2411 2014 Götaland 81 - 100 years old 30.3
2412 2014 Götaland 81 - 100 years old 40.5
2413 2014 Götaland 81 - 100 years old 31.6
2414 2014 Götaland 81 - 100 years old 139.9
2415 2015 Norra Norrland 81 - 100 years old 306.8
2416 2015 Norra Norrland 81 - 100 years old 391.2
2417 2015 Södra Norrland 81 - 100 years old 107.3
2418 2015 Södra Norrland 81 - 100 years old 130.9
2419 2015 Södra Norrland 81 - 100 years old 165.8
2420 2015 Svealand 81 - 100 years old 44.5
2421 2015 Svealand 81 - 100 years old 60.9
2422 2015 Svealand 81 - 100 years old 32.4
2423 2015 Svealand 81 - 100 years old 53.9
2424 2015 Svealand 81 - 100 years old 75.9
2425 2015 Svealand 81 - 100 years old 41.7
2426 2015 Svealand 81 - 100 years old 28.9
2427 2015 Svealand 81 - 100 years old 102.3
2428 2015 Götaland 81 - 100 years old 68.1
2429 2015 Götaland 81 - 100 years old 63.5
2430 2015 Götaland 81 - 100 years old 85.6
2431 2015 Götaland 81 - 100 years old 12.2
2432 2015 Götaland 81 - 100 years old 29.1
2433 2015 Götaland 81 - 100 years old 45.1
2434 2015 Götaland 81 - 100 years old 32.1
2435 2015 Götaland 81 - 100 years old 143.3
2436 2016 Norra Norrland 81 - 100 years old 293.3
2437 2016 Norra Norrland 81 - 100 years old 390.1
2438 2016 Södra Norrland 81 - 100 years old 97.1
2439 2016 Södra Norrland 81 - 100 years old 116.6
2440 2016 Södra Norrland 81 - 100 years old 160.5
2441 2016 Svealand 81 - 100 years old 45.5
2442 2016 Svealand 81 - 100 years old 58.3
2443 2016 Svealand 81 - 100 years old 36.8
2444 2016 Svealand 81 - 100 years old 53.6
2445 2016 Svealand 81 - 100 years old 75.5
2446 2016 Svealand 81 - 100 years old 42.6
2447 2016 Svealand 81 - 100 years old 28.4
2448 2016 Svealand 81 - 100 years old 102.8
2449 2016 Götaland 81 - 100 years old 64.9
2450 2016 Götaland 81 - 100 years old 63.6
2451 2016 Götaland 81 - 100 years old 83.8
2452 2016 Götaland 81 - 100 years old 12.6
2453 2016 Götaland 81 - 100 years old 27.7
2454 2016 Götaland 81 - 100 years old 43.1
2455 2016 Götaland 81 - 100 years old 34.0
2456 2016 Götaland 81 - 100 years old 142.5
2457 2017 Norra Norrland 81 - 100 years old 287.9
2458 2017 Norra Norrland 81 - 100 years old 390.9
2459 2017 Södra Norrland 81 - 100 years old 99.8
2460 2017 Södra Norrland 81 - 100 years old 98.2
2461 2017 Södra Norrland 81 - 100 years old 149.5
2462 2017 Svealand 81 - 100 years old 42.9
2463 2017 Svealand 81 - 100 years old 54.0
2464 2017 Svealand 81 - 100 years old 33.0
2465 2017 Svealand 81 - 100 years old 54.0
2466 2017 Svealand 81 - 100 years old 76.6
2467 2017 Svealand 81 - 100 years old 42.1
2468 2017 Svealand 81 - 100 years old 25.8
2469 2017 Svealand 81 - 100 years old 98.4
2470 2017 Götaland 81 - 100 years old 65.5
2471 2017 Götaland 81 - 100 years old 59.9
2472 2017 Götaland 81 - 100 years old 80.5
2473 2017 Götaland 81 - 100 years old 11.3
2474 2017 Götaland 81 - 100 years old 24.1
2475 2017 Götaland 81 - 100 years old 39.6
2476 2017 Götaland 81 - 100 years old 34.6
2477 2017 Götaland 81 - 100 years old 142.9
2478 2018 Norra Norrland 81 - 100 years old 262.5
2479 2018 Norra Norrland 81 - 100 years old 381.7
2480 2018 Södra Norrland 81 - 100 years old 95.1
2481 2018 Södra Norrland 81 - 100 years old 103.7
2482 2018 Södra Norrland 81 - 100 years old 146.8
2483 2018 Svealand 81 - 100 years old 40.7
2484 2018 Svealand 81 - 100 years old 53.4
2485 2018 Svealand 81 - 100 years old 36.7
2486 2018 Svealand 81 - 100 years old 53.6
2487 2018 Svealand 81 - 100 years old 81.2
2488 2018 Svealand 81 - 100 years old 43.9
2489 2018 Svealand 81 - 100 years old 25.0
2490 2018 Svealand 81 - 100 years old 88.9
2491 2018 Götaland 81 - 100 years old 66.7
2492 2018 Götaland 81 - 100 years old 59.0
2493 2018 Götaland 81 - 100 years old 84.1
2494 2018 Götaland 81 - 100 years old 10.5
2495 2018 Götaland 81 - 100 years old 23.9
2496 2018 Götaland 81 - 100 years old 43.1
2497 2018 Götaland 81 - 100 years old 35.2
2498 2018 Götaland 81 - 100 years old 137.2
2499 2019 Norra Norrland 81 - 100 years old 258.3
2500 2019 Norra Norrland 81 - 100 years old 376.1
2501 2019 Södra Norrland 81 - 100 years old 97.3
2502 2019 Södra Norrland 81 - 100 years old 104.3
2503 2019 Södra Norrland 81 - 100 years old 136.2
2504 2019 Svealand 81 - 100 years old 35.4
2505 2019 Svealand 81 - 100 years old 50.6
2506 2019 Svealand 81 - 100 years old 35.5
2507 2019 Svealand 81 - 100 years old 51.0
2508 2019 Svealand 81 - 100 years old 77.6
2509 2019 Svealand 81 - 100 years old 37.4
2510 2019 Svealand 81 - 100 years old 24.7
2511 2019 Svealand 81 - 100 years old 94.7
2512 2019 Götaland 81 - 100 years old 64.8
2513 2019 Götaland 81 - 100 years old 59.0
2514 2019 Götaland 81 - 100 years old 84.3
2515 2019 Götaland 81 - 100 years old 10.5
2516 2019 Götaland 81 - 100 years old 26.1
2517 2019 Götaland 81 - 100 years old 43.4
2518 2019 Götaland 81 - 100 years old 34.6
2519 2019 Götaland 81 - 100 years old 137.9
2520 2005 Norra Norrland 101 - 120 years old 251.2
2521 2005 Norra Norrland 101 - 120 years old 301.2
2522 2005 Södra Norrland 101 - 120 years old 128.7
2523 2005 Södra Norrland 101 - 120 years old 155.7
2524 2005 Södra Norrland 101 - 120 years old 301.6
2525 2005 Svealand 101 - 120 years old 28.4
2526 2005 Svealand 101 - 120 years old 31.1
2527 2005 Svealand 101 - 120 years old 13.1
2528 2005 Svealand 101 - 120 years old 38.1
2529 2005 Svealand 101 - 120 years old 76.0
2530 2005 Svealand 101 - 120 years old 52.7
2531 2005 Svealand 101 - 120 years old 20.8
2532 2005 Svealand 101 - 120 years old 160.1
2533 2005 Götaland 101 - 120 years old 44.6
2534 2005 Götaland 101 - 120 years old 37.5
2535 2005 Götaland 101 - 120 years old 51.4
2536 2005 Götaland 101 - 120 years old 14.8
2537 2005 Götaland 101 - 120 years old 7.8
2538 2005 Götaland 101 - 120 years old 26.9
2539 2005 Götaland 101 - 120 years old 14.0
2540 2005 Götaland 101 - 120 years old 84.8
2541 2006 Norra Norrland 101 - 120 years old 241.9
2542 2006 Norra Norrland 101 - 120 years old 297.1
2543 2006 Södra Norrland 101 - 120 years old 130.6
2544 2006 Södra Norrland 101 - 120 years old 156.5
2545 2006 Södra Norrland 101 - 120 years old 281.5
2546 2006 Svealand 101 - 120 years old 30.1
2547 2006 Svealand 101 - 120 years old 30.5
2548 2006 Svealand 101 - 120 years old 14.5
2549 2006 Svealand 101 - 120 years old 37.6
2550 2006 Svealand 101 - 120 years old 72.8
2551 2006 Svealand 101 - 120 years old 50.4
2552 2006 Svealand 101 - 120 years old 21.1
2553 2006 Svealand 101 - 120 years old 158.2
2554 2006 Götaland 101 - 120 years old 46.8
2555 2006 Götaland 101 - 120 years old 36.6
2556 2006 Götaland 101 - 120 years old 54.2
2557 2006 Götaland 101 - 120 years old 12.9
2558 2006 Götaland 101 - 120 years old 7.8
2559 2006 Götaland 101 - 120 years old 24.9
2560 2006 Götaland 101 - 120 years old 13.8
2561 2006 Götaland 101 - 120 years old 86.0
2562 2007 Norra Norrland 101 - 120 years old 262.7
2563 2007 Norra Norrland 101 - 120 years old 286.1
2564 2007 Södra Norrland 101 - 120 years old 129.1
2565 2007 Södra Norrland 101 - 120 years old 150.6
2566 2007 Södra Norrland 101 - 120 years old 280.3
2567 2007 Svealand 101 - 120 years old 25.7
2568 2007 Svealand 101 - 120 years old 34.5
2569 2007 Svealand 101 - 120 years old 14.2
2570 2007 Svealand 101 - 120 years old 34.5
2571 2007 Svealand 101 - 120 years old 73.7
2572 2007 Svealand 101 - 120 years old 47.1
2573 2007 Svealand 101 - 120 years old 19.9
2574 2007 Svealand 101 - 120 years old 156.2
2575 2007 Götaland 101 - 120 years old 45.1
2576 2007 Götaland 101 - 120 years old 37.6
2577 2007 Götaland 101 - 120 years old 55.1
2578 2007 Götaland 101 - 120 years old 15.3
2579 2007 Götaland 101 - 120 years old 6.7
2580 2007 Götaland 101 - 120 years old 28.6
2581 2007 Götaland 101 - 120 years old 14.7
2582 2007 Götaland 101 - 120 years old 86.5
2583 2008 Norra Norrland 101 - 120 years old 264.3
2584 2008 Norra Norrland 101 - 120 years old 304.2
2585 2008 Södra Norrland 101 - 120 years old 121.4
2586 2008 Södra Norrland 101 - 120 years old 145.4
2587 2008 Södra Norrland 101 - 120 years old 246.8
2588 2008 Svealand 101 - 120 years old 26.7
2589 2008 Svealand 101 - 120 years old 36.7
2590 2008 Svealand 101 - 120 years old 12.9
2591 2008 Svealand 101 - 120 years old 34.2
2592 2008 Svealand 101 - 120 years old 76.2
2593 2008 Svealand 101 - 120 years old 48.2
2594 2008 Svealand 101 - 120 years old 18.9
2595 2008 Svealand 101 - 120 years old 151.3
2596 2008 Götaland 101 - 120 years old 50.3
2597 2008 Götaland 101 - 120 years old 39.4
2598 2008 Götaland 101 - 120 years old 57.0
2599 2008 Götaland 101 - 120 years old 16.8
2600 2008 Götaland 101 - 120 years old 6.7
2601 2008 Götaland 101 - 120 years old 28.1
2602 2008 Götaland 101 - 120 years old 17.2
2603 2008 Götaland 101 - 120 years old 88.0
2604 2009 Norra Norrland 101 - 120 years old 252.5
2605 2009 Norra Norrland 101 - 120 years old 291.2
2606 2009 Södra Norrland 101 - 120 years old 112.9
2607 2009 Södra Norrland 101 - 120 years old 143.4
2608 2009 Södra Norrland 101 - 120 years old 221.9
2609 2009 Svealand 101 - 120 years old 27.9
2610 2009 Svealand 101 - 120 years old 37.3
2611 2009 Svealand 101 - 120 years old 12.6
2612 2009 Svealand 101 - 120 years old 35.0
2613 2009 Svealand 101 - 120 years old 74.3
2614 2009 Svealand 101 - 120 years old 41.6
2615 2009 Svealand 101 - 120 years old 19.5
2616 2009 Svealand 101 - 120 years old 154.3
2617 2009 Götaland 101 - 120 years old 51.9
2618 2009 Götaland 101 - 120 years old 39.6
2619 2009 Götaland 101 - 120 years old 56.6
2620 2009 Götaland 101 - 120 years old 14.7
2621 2009 Götaland 101 - 120 years old 6.7
2622 2009 Götaland 101 - 120 years old 24.5
2623 2009 Götaland 101 - 120 years old 13.1
2624 2009 Götaland 101 - 120 years old 90.4
2625 2010 Norra Norrland 101 - 120 years old 257.4
2626 2010 Norra Norrland 101 - 120 years old 269.1
2627 2010 Södra Norrland 101 - 120 years old 107.1
2628 2010 Södra Norrland 101 - 120 years old 145.3
2629 2010 Södra Norrland 101 - 120 years old 207.4
2630 2010 Svealand 101 - 120 years old 28.3
2631 2010 Svealand 101 - 120 years old 37.4
2632 2010 Svealand 101 - 120 years old 15.9
2633 2010 Svealand 101 - 120 years old 36.0
2634 2010 Svealand 101 - 120 years old 74.7
2635 2010 Svealand 101 - 120 years old 35.8
2636 2010 Svealand 101 - 120 years old 17.9
2637 2010 Svealand 101 - 120 years old 149.1
2638 2010 Götaland 101 - 120 years old 55.2
2639 2010 Götaland 101 - 120 years old 39.2
2640 2010 Götaland 101 - 120 years old 53.9
2641 2010 Götaland 101 - 120 years old 14.9
2642 2010 Götaland 101 - 120 years old 6.6
2643 2010 Götaland 101 - 120 years old 22.7
2644 2010 Götaland 101 - 120 years old 12.7
2645 2010 Götaland 101 - 120 years old 86.7
2646 2011 Norra Norrland 101 - 120 years old 279.0
2647 2011 Norra Norrland 101 - 120 years old 268.4
2648 2011 Södra Norrland 101 - 120 years old 99.8
2649 2011 Södra Norrland 101 - 120 years old 137.5
2650 2011 Södra Norrland 101 - 120 years old 199.0
2651 2011 Svealand 101 - 120 years old 26.4
2652 2011 Svealand 101 - 120 years old 38.1
2653 2011 Svealand 101 - 120 years old 16.5
2654 2011 Svealand 101 - 120 years old 35.7
2655 2011 Svealand 101 - 120 years old 71.4
2656 2011 Svealand 101 - 120 years old 33.7
2657 2011 Svealand 101 - 120 years old 17.1
2658 2011 Svealand 101 - 120 years old 144.6
2659 2011 Götaland 101 - 120 years old 55.0
2660 2011 Götaland 101 - 120 years old 39.4
2661 2011 Götaland 101 - 120 years old 54.6
2662 2011 Götaland 101 - 120 years old 15.3
2663 2011 Götaland 101 - 120 years old 7.5
2664 2011 Götaland 101 - 120 years old 22.7
2665 2011 Götaland 101 - 120 years old 13.9
2666 2011 Götaland 101 - 120 years old 89.0
2667 2012 Norra Norrland 101 - 120 years old 257.4
2668 2012 Norra Norrland 101 - 120 years old 260.4
2669 2012 Södra Norrland 101 - 120 years old 95.8
2670 2012 Södra Norrland 101 - 120 years old 128.2
2671 2012 Södra Norrland 101 - 120 years old 193.3
2672 2012 Svealand 101 - 120 years old 25.6
2673 2012 Svealand 101 - 120 years old 36.8
2674 2012 Svealand 101 - 120 years old 19.1
2675 2012 Svealand 101 - 120 years old 34.8
2676 2012 Svealand 101 - 120 years old 73.4
2677 2012 Svealand 101 - 120 years old 29.5
2678 2012 Svealand 101 - 120 years old 20.4
2679 2012 Svealand 101 - 120 years old 125.5
2680 2012 Götaland 101 - 120 years old 51.3
2681 2012 Götaland 101 - 120 years old 38.8
2682 2012 Götaland 101 - 120 years old 55.4
2683 2012 Götaland 101 - 120 years old 13.7
2684 2012 Götaland 101 - 120 years old 8.8
2685 2012 Götaland 101 - 120 years old 18.8
2686 2012 Götaland 101 - 120 years old 12.2
2687 2012 Götaland 101 - 120 years old 86.5
2688 2013 Norra Norrland 101 - 120 years old 252.4
2689 2013 Norra Norrland 101 - 120 years old 247.8
2690 2013 Södra Norrland 101 - 120 years old 102.1
2691 2013 Södra Norrland 101 - 120 years old 123.0
2692 2013 Södra Norrland 101 - 120 years old 199.8
2693 2013 Svealand 101 - 120 years old 26.1
2694 2013 Svealand 101 - 120 years old 37.3
2695 2013 Svealand 101 - 120 years old 19.8
2696 2013 Svealand 101 - 120 years old 33.1
2697 2013 Svealand 101 - 120 years old 75.4
2698 2013 Svealand 101 - 120 years old 25.2
2699 2013 Svealand 101 - 120 years old 21.5
2700 2013 Svealand 101 - 120 years old 112.5
2701 2013 Götaland 101 - 120 years old 49.6
2702 2013 Götaland 101 - 120 years old 36.5
2703 2013 Götaland 101 - 120 years old 51.6
2704 2013 Götaland 101 - 120 years old 13.7
2705 2013 Götaland 101 - 120 years old 9.2
2706 2013 Götaland 101 - 120 years old 17.2
2707 2013 Götaland 101 - 120 years old 11.9
2708 2013 Götaland 101 - 120 years old 91.8
2709 2014 Norra Norrland 101 - 120 years old 261.5
2710 2014 Norra Norrland 101 - 120 years old 251.0
2711 2014 Södra Norrland 101 - 120 years old 99.0
2712 2014 Södra Norrland 101 - 120 years old 116.8
2713 2014 Södra Norrland 101 - 120 years old 204.6
2714 2014 Svealand 101 - 120 years old 23.1
2715 2014 Svealand 101 - 120 years old 42.2
2716 2014 Svealand 101 - 120 years old 20.1
2717 2014 Svealand 101 - 120 years old 32.3
2718 2014 Svealand 101 - 120 years old 71.0
2719 2014 Svealand 101 - 120 years old 24.4
2720 2014 Svealand 101 - 120 years old 20.4
2721 2014 Svealand 101 - 120 years old 109.5
2722 2014 Götaland 101 - 120 years old 47.6
2723 2014 Götaland 101 - 120 years old 35.2
2724 2014 Götaland 101 - 120 years old 55.7
2725 2014 Götaland 101 - 120 years old 14.1
2726 2014 Götaland 101 - 120 years old 9.0
2727 2014 Götaland 101 - 120 years old 17.0
2728 2014 Götaland 101 - 120 years old 11.9
2729 2014 Götaland 101 - 120 years old 91.8
2730 2015 Norra Norrland 101 - 120 years old 256.3
2731 2015 Norra Norrland 101 - 120 years old 242.2
2732 2015 Södra Norrland 101 - 120 years old 93.0
2733 2015 Södra Norrland 101 - 120 years old 104.9
2734 2015 Södra Norrland 101 - 120 years old 190.7
2735 2015 Svealand 101 - 120 years old 22.3
2736 2015 Svealand 101 - 120 years old 42.5
2737 2015 Svealand 101 - 120 years old 18.4
2738 2015 Svealand 101 - 120 years old 31.5
2739 2015 Svealand 101 - 120 years old 74.8
2740 2015 Svealand 101 - 120 years old 23.6
2741 2015 Svealand 101 - 120 years old 17.9
2742 2015 Svealand 101 - 120 years old 113.2
2743 2015 Götaland 101 - 120 years old 46.6
2744 2015 Götaland 101 - 120 years old 32.7
2745 2015 Götaland 101 - 120 years old 56.7
2746 2015 Götaland 101 - 120 years old 13.0
2747 2015 Götaland 101 - 120 years old 9.8
2748 2015 Götaland 101 - 120 years old 17.9
2749 2015 Götaland 101 - 120 years old 14.0
2750 2015 Götaland 101 - 120 years old 85.8
2751 2016 Norra Norrland 101 - 120 years old 244.6
2752 2016 Norra Norrland 101 - 120 years old 245.3
2753 2016 Södra Norrland 101 - 120 years old 87.8
2754 2016 Södra Norrland 101 - 120 years old 99.4
2755 2016 Södra Norrland 101 - 120 years old 178.6
2756 2016 Svealand 101 - 120 years old 24.1
2757 2016 Svealand 101 - 120 years old 44.8
2758 2016 Svealand 101 - 120 years old 19.2
2759 2016 Svealand 101 - 120 years old 32.2
2760 2016 Svealand 101 - 120 years old 74.7
2761 2016 Svealand 101 - 120 years old 21.4
2762 2016 Svealand 101 - 120 years old 16.8
2763 2016 Svealand 101 - 120 years old 113.4
2764 2016 Götaland 101 - 120 years old 49.5
2765 2016 Götaland 101 - 120 years old 29.4
2766 2016 Götaland 101 - 120 years old 54.9
2767 2016 Götaland 101 - 120 years old 13.2
2768 2016 Götaland 101 - 120 years old 10.2
2769 2016 Götaland 101 - 120 years old 17.4
2770 2016 Götaland 101 - 120 years old 15.3
2771 2016 Götaland 101 - 120 years old 88.2
2772 2017 Norra Norrland 101 - 120 years old 244.3
2773 2017 Norra Norrland 101 - 120 years old 264.7
2774 2017 Södra Norrland 101 - 120 years old 80.9
2775 2017 Södra Norrland 101 - 120 years old 108.1
2776 2017 Södra Norrland 101 - 120 years old 169.9
2777 2017 Svealand 101 - 120 years old 25.2
2778 2017 Svealand 101 - 120 years old 45.1
2779 2017 Svealand 101 - 120 years old 17.5
2780 2017 Svealand 101 - 120 years old 31.8
2781 2017 Svealand 101 - 120 years old 72.1
2782 2017 Svealand 101 - 120 years old 17.8
2783 2017 Svealand 101 - 120 years old 16.6
2784 2017 Svealand 101 - 120 years old 105.3
2785 2017 Götaland 101 - 120 years old 54.8
2786 2017 Götaland 101 - 120 years old 28.8
2787 2017 Götaland 101 - 120 years old 53.9
2788 2017 Götaland 101 - 120 years old 13.5
2789 2017 Götaland 101 - 120 years old 10.7
2790 2017 Götaland 101 - 120 years old 17.4
2791 2017 Götaland 101 - 120 years old 15.1
2792 2017 Götaland 101 - 120 years old 89.9
2793 2018 Norra Norrland 101 - 120 years old 245.3
2794 2018 Norra Norrland 101 - 120 years old 262.1
2795 2018 Södra Norrland 101 - 120 years old 76.4
2796 2018 Södra Norrland 101 - 120 years old 96.9
2797 2018 Södra Norrland 101 - 120 years old 165.3
2798 2018 Svealand 101 - 120 years old 23.4
2799 2018 Svealand 101 - 120 years old 42.2
2800 2018 Svealand 101 - 120 years old 16.3
2801 2018 Svealand 101 - 120 years old 32.4
2802 2018 Svealand 101 - 120 years old 69.4
2803 2018 Svealand 101 - 120 years old 20.6
2804 2018 Svealand 101 - 120 years old 17.9
2805 2018 Svealand 101 - 120 years old 104.2
2806 2018 Götaland 101 - 120 years old 54.0
2807 2018 Götaland 101 - 120 years old 28.6
2808 2018 Götaland 101 - 120 years old 56.2
2809 2018 Götaland 101 - 120 years old 14.8
2810 2018 Götaland 101 - 120 years old 11.5
2811 2018 Götaland 101 - 120 years old 18.4
2812 2018 Götaland 101 - 120 years old 15.5
2813 2018 Götaland 101 - 120 years old 88.4
2814 2019 Norra Norrland 101 - 120 years old 241.8
2815 2019 Norra Norrland 101 - 120 years old 282.0
2816 2019 Södra Norrland 101 - 120 years old 72.1
2817 2019 Södra Norrland 101 - 120 years old 88.9
2818 2019 Södra Norrland 101 - 120 years old 157.3
2819 2019 Svealand 101 - 120 years old 20.0
2820 2019 Svealand 101 - 120 years old 41.8
2821 2019 Svealand 101 - 120 years old 14.9
2822 2019 Svealand 101 - 120 years old 29.3
2823 2019 Svealand 101 - 120 years old 71.7
2824 2019 Svealand 101 - 120 years old 25.0
2825 2019 Svealand 101 - 120 years old 17.1
2826 2019 Svealand 101 - 120 years old 101.3
2827 2019 Götaland 101 - 120 years old 54.7
2828 2019 Götaland 101 - 120 years old 28.4
2829 2019 Götaland 101 - 120 years old 51.0
2830 2019 Götaland 101 - 120 years old 14.1
2831 2019 Götaland 101 - 120 years old 11.1
2832 2019 Götaland 101 - 120 years old 18.7
2833 2019 Götaland 101 - 120 years old 15.6
2834 2019 Götaland 101 - 120 years old 83.9
2835 2005 Norra Norrland 121 - 140 years old 262.9
2836 2005 Norra Norrland 121 - 140 years old 321.1
2837 2005 Södra Norrland 121 - 140 years old 71.7
2838 2005 Södra Norrland 121 - 140 years old 111.4
2839 2005 Södra Norrland 121 - 140 years old 319.4
2840 2005 Svealand 121 - 140 years old 11.8
2841 2005 Svealand 121 - 140 years old 19.3
2842 2005 Svealand 121 - 140 years old 8.6
2843 2005 Svealand 121 - 140 years old 16.0
2844 2005 Svealand 121 - 140 years old 50.9
2845 2005 Svealand 121 - 140 years old 17.4
2846 2005 Svealand 121 - 140 years old 13.9
2847 2005 Svealand 121 - 140 years old 193.5
2848 2005 Götaland 121 - 140 years old 23.3
2849 2005 Götaland 121 - 140 years old 7.2
2850 2005 Götaland 121 - 140 years old 22.2
2851 2005 Götaland 121 - 140 years old 15.5
2852 2005 Götaland 121 - 140 years old 1.5
2853 2005 Götaland 121 - 140 years old 14.7
2854 2005 Götaland 121 - 140 years old 1.7
2855 2005 Götaland 121 - 140 years old 34.6
2856 2006 Norra Norrland 121 - 140 years old 263.2
2857 2006 Norra Norrland 121 - 140 years old 329.1
2858 2006 Södra Norrland 121 - 140 years old 72.0
2859 2006 Södra Norrland 121 - 140 years old 113.4
2860 2006 Södra Norrland 121 - 140 years old 309.3
2861 2006 Svealand 121 - 140 years old 10.4
2862 2006 Svealand 121 - 140 years old 20.9
2863 2006 Svealand 121 - 140 years old 9.0
2864 2006 Svealand 121 - 140 years old 15.5
2865 2006 Svealand 121 - 140 years old 50.8
2866 2006 Svealand 121 - 140 years old 16.9
2867 2006 Svealand 121 - 140 years old 14.5
2868 2006 Svealand 121 - 140 years old 195.9
2869 2006 Götaland 121 - 140 years old 21.4
2870 2006 Götaland 121 - 140 years old 7.4
2871 2006 Götaland 121 - 140 years old 23.4
2872 2006 Götaland 121 - 140 years old 12.2
2873 2006 Götaland 121 - 140 years old 1.5
2874 2006 Götaland 121 - 140 years old 15.3
2875 2006 Götaland 121 - 140 years old 4.6
2876 2006 Götaland 121 - 140 years old 34.7
2877 2007 Norra Norrland 121 - 140 years old 252.3
2878 2007 Norra Norrland 121 - 140 years old 315.3
2879 2007 Södra Norrland 121 - 140 years old 81.4
2880 2007 Södra Norrland 121 - 140 years old 107.5
2881 2007 Södra Norrland 121 - 140 years old 309.1
2882 2007 Svealand 121 - 140 years old 9.4
2883 2007 Svealand 121 - 140 years old 20.8
2884 2007 Svealand 121 - 140 years old 9.4
2885 2007 Svealand 121 - 140 years old 12.4
2886 2007 Svealand 121 - 140 years old 48.7
2887 2007 Svealand 121 - 140 years old 17.5
2888 2007 Svealand 121 - 140 years old 14.5
2889 2007 Svealand 121 - 140 years old 193.3
2890 2007 Götaland 121 - 140 years old 23.9
2891 2007 Götaland 121 - 140 years old 7.6
2892 2007 Götaland 121 - 140 years old 23.2
2893 2007 Götaland 121 - 140 years old 11.8
2894 2007 Götaland 121 - 140 years old 1.5
2895 2007 Götaland 121 - 140 years old 15.2
2896 2007 Götaland 121 - 140 years old 5.1
2897 2007 Götaland 121 - 140 years old 41.3
2898 2008 Norra Norrland 121 - 140 years old 248.7
2899 2008 Norra Norrland 121 - 140 years old 315.3
2900 2008 Södra Norrland 121 - 140 years old 84.5
2901 2008 Södra Norrland 121 - 140 years old 108.5
2902 2008 Södra Norrland 121 - 140 years old 275.9
2903 2008 Svealand 121 - 140 years old 12.2
2904 2008 Svealand 121 - 140 years old 19.9
2905 2008 Svealand 121 - 140 years old 8.1
2906 2008 Svealand 121 - 140 years old 12.6
2907 2008 Svealand 121 - 140 years old 44.7
2908 2008 Svealand 121 - 140 years old 20.8
2909 2008 Svealand 121 - 140 years old 13.2
2910 2008 Svealand 121 - 140 years old 178.7
2911 2008 Götaland 121 - 140 years old 24.4
2912 2008 Götaland 121 - 140 years old 6.9
2913 2008 Götaland 121 - 140 years old 22.6
2914 2008 Götaland 121 - 140 years old 10.0
2915 2008 Götaland 121 - 140 years old 1.0
2916 2008 Götaland 121 - 140 years old 12.4
2917 2008 Götaland 121 - 140 years old 7.0
2918 2008 Götaland 121 - 140 years old 38.6
2919 2009 Norra Norrland 121 - 140 years old 243.4
2920 2009 Norra Norrland 121 - 140 years old 324.3
2921 2009 Södra Norrland 121 - 140 years old 83.1
2922 2009 Södra Norrland 121 - 140 years old 109.8
2923 2009 Södra Norrland 121 - 140 years old 264.7
2924 2009 Svealand 121 - 140 years old 13.1
2925 2009 Svealand 121 - 140 years old 18.4
2926 2009 Svealand 121 - 140 years old 9.0
2927 2009 Svealand 121 - 140 years old 12.5
2928 2009 Svealand 121 - 140 years old 44.0
2929 2009 Svealand 121 - 140 years old 19.5
2930 2009 Svealand 121 - 140 years old 12.5
2931 2009 Svealand 121 - 140 years old 176.7
2932 2009 Götaland 121 - 140 years old 22.2
2933 2009 Götaland 121 - 140 years old 8.4
2934 2009 Götaland 121 - 140 years old 22.2
2935 2009 Götaland 121 - 140 years old 8.8
2936 2009 Götaland 121 - 140 years old 1.0
2937 2009 Götaland 121 - 140 years old 9.2
2938 2009 Götaland 121 - 140 years old 7.0
2939 2009 Götaland 121 - 140 years old 43.7
2940 2010 Norra Norrland 121 - 140 years old 216.4
2941 2010 Norra Norrland 121 - 140 years old 308.1
2942 2010 Södra Norrland 121 - 140 years old 80.3
2943 2010 Södra Norrland 121 - 140 years old 101.2
2944 2010 Södra Norrland 121 - 140 years old 265.6
2945 2010 Svealand 121 - 140 years old 13.0
2946 2010 Svealand 121 - 140 years old 20.4
2947 2010 Svealand 121 - 140 years old 8.4
2948 2010 Svealand 121 - 140 years old 13.3
2949 2010 Svealand 121 - 140 years old 45.9
2950 2010 Svealand 121 - 140 years old 21.4
2951 2010 Svealand 121 - 140 years old 11.4
2952 2010 Svealand 121 - 140 years old 167.3
2953 2010 Götaland 121 - 140 years old 22.1
2954 2010 Götaland 121 - 140 years old 8.1
2955 2010 Götaland 121 - 140 years old 22.2
2956 2010 Götaland 121 - 140 years old 10.3
2957 2010 Götaland 121 - 140 years old 0.9
2958 2010 Götaland 121 - 140 years old 11.2
2959 2010 Götaland 121 - 140 years old 7.1
2960 2010 Götaland 121 - 140 years old 47.7
2961 2011 Norra Norrland 121 - 140 years old 233.1
2962 2011 Norra Norrland 121 - 140 years old 301.9
2963 2011 Södra Norrland 121 - 140 years old 78.4
2964 2011 Södra Norrland 121 - 140 years old 105.8
2965 2011 Södra Norrland 121 - 140 years old 270.9
2966 2011 Svealand 121 - 140 years old 13.5
2967 2011 Svealand 121 - 140 years old 20.7
2968 2011 Svealand 121 - 140 years old 8.5
2969 2011 Svealand 121 - 140 years old 14.4
2970 2011 Svealand 121 - 140 years old 46.5
2971 2011 Svealand 121 - 140 years old 23.8
2972 2011 Svealand 121 - 140 years old 12.1
2973 2011 Svealand 121 - 140 years old 161.9
2974 2011 Götaland 121 - 140 years old 19.9
2975 2011 Götaland 121 - 140 years old 8.0
2976 2011 Götaland 121 - 140 years old 22.7
2977 2011 Götaland 121 - 140 years old 12.3
2978 2011 Götaland 121 - 140 years old 0.9
2979 2011 Götaland 121 - 140 years old 12.1
2980 2011 Götaland 121 - 140 years old 5.6
2981 2011 Götaland 121 - 140 years old 44.1
2982 2012 Norra Norrland 121 - 140 years old 230.2
2983 2012 Norra Norrland 121 - 140 years old 311.3
2984 2012 Södra Norrland 121 - 140 years old 68.9
2985 2012 Södra Norrland 121 - 140 years old 109.0
2986 2012 Södra Norrland 121 - 140 years old 246.9
2987 2012 Svealand 121 - 140 years old 14.2
2988 2012 Svealand 121 - 140 years old 18.0
2989 2012 Svealand 121 - 140 years old 9.1
2990 2012 Svealand 121 - 140 years old 14.5
2991 2012 Svealand 121 - 140 years old 44.8
2992 2012 Svealand 121 - 140 years old 25.6
2993 2012 Svealand 121 - 140 years old 13.1
2994 2012 Svealand 121 - 140 years old 162.9
2995 2012 Götaland 121 - 140 years old 19.6
2996 2012 Götaland 121 - 140 years old 8.5
2997 2012 Götaland 121 - 140 years old 26.3
2998 2012 Götaland 121 - 140 years old 11.5
2999 2012 Götaland 121 - 140 years old 2.2
3000 2012 Götaland 121 - 140 years old 12.6
3001 2012 Götaland 121 - 140 years old 7.1
3002 2012 Götaland 121 - 140 years old 43.4
3003 2013 Norra Norrland 121 - 140 years old 217.4
3004 2013 Norra Norrland 121 - 140 years old 294.1
3005 2013 Södra Norrland 121 - 140 years old 67.0
3006 2013 Södra Norrland 121 - 140 years old 102.4
3007 2013 Södra Norrland 121 - 140 years old 253.8
3008 2013 Svealand 121 - 140 years old 11.2
3009 2013 Svealand 121 - 140 years old 17.9
3010 2013 Svealand 121 - 140 years old 9.8
3011 2013 Svealand 121 - 140 years old 12.6
3012 2013 Svealand 121 - 140 years old 51.1
3013 2013 Svealand 121 - 140 years old 22.4
3014 2013 Svealand 121 - 140 years old 14.7
3015 2013 Svealand 121 - 140 years old 155.2
3016 2013 Götaland 121 - 140 years old 19.2
3017 2013 Götaland 121 - 140 years old 9.9
3018 2013 Götaland 121 - 140 years old 30.5
3019 2013 Götaland 121 - 140 years old 10.8
3020 2013 Götaland 121 - 140 years old 2.4
3021 2013 Götaland 121 - 140 years old 13.1
3022 2013 Götaland 121 - 140 years old 5.4
3023 2013 Götaland 121 - 140 years old 45.3
3024 2014 Norra Norrland 121 - 140 years old 233.9
3025 2014 Norra Norrland 121 - 140 years old 304.6
3026 2014 Södra Norrland 121 - 140 years old 66.1
3027 2014 Södra Norrland 121 - 140 years old 101.8
3028 2014 Södra Norrland 121 - 140 years old 261.1
3029 2014 Svealand 121 - 140 years old 11.2
3030 2014 Svealand 121 - 140 years old 21.7
3031 2014 Svealand 121 - 140 years old 10.1
3032 2014 Svealand 121 - 140 years old 15.7
3033 2014 Svealand 121 - 140 years old 54.8
3034 2014 Svealand 121 - 140 years old 22.9
3035 2014 Svealand 121 - 140 years old 15.1
3036 2014 Svealand 121 - 140 years old 150.0
3037 2014 Götaland 121 - 140 years old 19.3
3038 2014 Götaland 121 - 140 years old 10.4
3039 2014 Götaland 121 - 140 years old 31.0
3040 2014 Götaland 121 - 140 years old 9.7
3041 2014 Götaland 121 - 140 years old 3.2
3042 2014 Götaland 121 - 140 years old 13.0
3043 2014 Götaland 121 - 140 years old 6.3
3044 2014 Götaland 121 - 140 years old 42.3
3045 2015 Norra Norrland 121 - 140 years old 244.8
3046 2015 Norra Norrland 121 - 140 years old 310.4
3047 2015 Södra Norrland 121 - 140 years old 68.6
3048 2015 Södra Norrland 121 - 140 years old 101.4
3049 2015 Södra Norrland 121 - 140 years old 255.5
3050 2015 Svealand 121 - 140 years old 12.1
3051 2015 Svealand 121 - 140 years old 19.1
3052 2015 Svealand 121 - 140 years old 8.2
3053 2015 Svealand 121 - 140 years old 14.9
3054 2015 Svealand 121 - 140 years old 55.7
3055 2015 Svealand 121 - 140 years old 23.2
3056 2015 Svealand 121 - 140 years old 15.3
3057 2015 Svealand 121 - 140 years old 144.4
3058 2015 Götaland 121 - 140 years old 20.9
3059 2015 Götaland 121 - 140 years old 10.7
3060 2015 Götaland 121 - 140 years old 33.0
3061 2015 Götaland 121 - 140 years old 9.7
3062 2015 Götaland 121 - 140 years old 4.2
3063 2015 Götaland 121 - 140 years old 14.2
3064 2015 Götaland 121 - 140 years old 7.4
3065 2015 Götaland 121 - 140 years old 40.9
3066 2016 Norra Norrland 121 - 140 years old 235.9
3067 2016 Norra Norrland 121 - 140 years old 297.8
3068 2016 Södra Norrland 121 - 140 years old 73.7
3069 2016 Södra Norrland 121 - 140 years old 91.8
3070 2016 Södra Norrland 121 - 140 years old 249.1
3071 2016 Svealand 121 - 140 years old 13.8
3072 2016 Svealand 121 - 140 years old 17.8
3073 2016 Svealand 121 - 140 years old 7.7
3074 2016 Svealand 121 - 140 years old 15.3
3075 2016 Svealand 121 - 140 years old 60.6
3076 2016 Svealand 121 - 140 years old 21.9
3077 2016 Svealand 121 - 140 years old 13.4
3078 2016 Svealand 121 - 140 years old 145.6
3079 2016 Götaland 121 - 140 years old 24.2
3080 2016 Götaland 121 - 140 years old 9.2
3081 2016 Götaland 121 - 140 years old 34.1
3082 2016 Götaland 121 - 140 years old 8.9
3083 2016 Götaland 121 - 140 years old 5.2
3084 2016 Götaland 121 - 140 years old 12.8
3085 2016 Götaland 121 - 140 years old 7.5
3086 2016 Götaland 121 - 140 years old 41.6
3087 2017 Norra Norrland 121 - 140 years old 229.5
3088 2017 Norra Norrland 121 - 140 years old 289.4
3089 2017 Södra Norrland 121 - 140 years old 77.3
3090 2017 Södra Norrland 121 - 140 years old 96.3
3091 2017 Södra Norrland 121 - 140 years old 259.3
3092 2017 Svealand 121 - 140 years old 14.0
3093 2017 Svealand 121 - 140 years old 18.4
3094 2017 Svealand 121 - 140 years old 6.7
3095 2017 Svealand 121 - 140 years old 14.5
3096 2017 Svealand 121 - 140 years old 54.5
3097 2017 Svealand 121 - 140 years old 22.5
3098 2017 Svealand 121 - 140 years old 11.2
3099 2017 Svealand 121 - 140 years old 136.3
3100 2017 Götaland 121 - 140 years old 26.2
3101 2017 Götaland 121 - 140 years old 10.4
3102 2017 Götaland 121 - 140 years old 34.7
3103 2017 Götaland 121 - 140 years old 8.1
3104 2017 Götaland 121 - 140 years old 4.6
3105 2017 Götaland 121 - 140 years old 12.5
3106 2017 Götaland 121 - 140 years old 7.1
3107 2017 Götaland 121 - 140 years old 45.5
3108 2018 Norra Norrland 121 - 140 years old 231.3
3109 2018 Norra Norrland 121 - 140 years old 298.2
3110 2018 Södra Norrland 121 - 140 years old 81.8
3111 2018 Södra Norrland 121 - 140 years old 101.6
3112 2018 Södra Norrland 121 - 140 years old 256.5
3113 2018 Svealand 121 - 140 years old 14.4
3114 2018 Svealand 121 - 140 years old 19.1
3115 2018 Svealand 121 - 140 years old 7.3
3116 2018 Svealand 121 - 140 years old 14.7
3117 2018 Svealand 121 - 140 years old 51.3
3118 2018 Svealand 121 - 140 years old 23.1
3119 2018 Svealand 121 - 140 years old 9.5
3120 2018 Svealand 121 - 140 years old 137.0
3121 2018 Götaland 121 - 140 years old 27.4
3122 2018 Götaland 121 - 140 years old 10.9
3123 2018 Götaland 121 - 140 years old 28.4
3124 2018 Götaland 121 - 140 years old 9.1
3125 2018 Götaland 121 - 140 years old 6.0
3126 2018 Götaland 121 - 140 years old 12.1
3127 2018 Götaland 121 - 140 years old 7.7
3128 2018 Götaland 121 - 140 years old 48.8
3129 2019 Norra Norrland 121 - 140 years old 214.6
3130 2019 Norra Norrland 121 - 140 years old 275.0
3131 2019 Södra Norrland 121 - 140 years old 78.3
3132 2019 Södra Norrland 121 - 140 years old 95.7
3133 2019 Södra Norrland 121 - 140 years old 249.3
3134 2019 Svealand 121 - 140 years old 16.3
3135 2019 Svealand 121 - 140 years old 17.5
3136 2019 Svealand 121 - 140 years old 6.0
3137 2019 Svealand 121 - 140 years old 14.3
3138 2019 Svealand 121 - 140 years old 46.6
3139 2019 Svealand 121 - 140 years old 20.3
3140 2019 Svealand 121 - 140 years old 9.6
3141 2019 Svealand 121 - 140 years old 138.3
3142 2019 Götaland 121 - 140 years old 32.2
3143 2019 Götaland 121 - 140 years old 13.5
3144 2019 Götaland 121 - 140 years old 28.9
3145 2019 Götaland 121 - 140 years old 8.2
3146 2019 Götaland 121 - 140 years old 6.8
3147 2019 Götaland 121 - 140 years old 13.5
3148 2019 Götaland 121 - 140 years old 7.3
3149 2019 Götaland 121 - 140 years old 56.6
3150 2005 Norra Norrland 141+ years old 342.6
3151 2005 Norra Norrland 141+ years old 562.5
3152 2005 Södra Norrland 141+ years old 48.3
3153 2005 Södra Norrland 141+ years old 68.0
3154 2005 Södra Norrland 141+ years old 401.9
3155 2005 Svealand 141+ years old 13.0
3156 2005 Svealand 141+ years old 9.2
3157 2005 Svealand 141+ years old 4.4
3158 2005 Svealand 141+ years old 8.7
3159 2005 Svealand 141+ years old 48.9
3160 2005 Svealand 141+ years old 8.5
3161 2005 Svealand 141+ years old 2.4
3162 2005 Svealand 141+ years old 192.7
3163 2005 Götaland 141+ years old 13.1
3164 2005 Götaland 141+ years old 1.4
3165 2005 Götaland 141+ years old 6.0
3166 2005 Götaland 141+ years old 19.2
3167 2005 Götaland 141+ years old 0.5
3168 2005 Götaland 141+ years old 1.0
3169 2005 Götaland 141+ years old 0.5
3170 2005 Götaland 141+ years old 20.7
3171 2006 Norra Norrland 141+ years old 316.9
3172 2006 Norra Norrland 141+ years old 558.6
3173 2006 Södra Norrland 141+ years old 46.6
3174 2006 Södra Norrland 141+ years old 71.9
3175 2006 Södra Norrland 141+ years old 409.8
3176 2006 Svealand 141+ years old 13.0
3177 2006 Svealand 141+ years old 8.7
3178 2006 Svealand 141+ years old 4.9
3179 2006 Svealand 141+ years old 8.7
3180 2006 Svealand 141+ years old 46.1
3181 2006 Svealand 141+ years old 8.0
3182 2006 Svealand 141+ years old 3.2
3183 2006 Svealand 141+ years old 193.9
3184 2006 Götaland 141+ years old 15.2
3185 2006 Götaland 141+ years old 1.4
3186 2006 Götaland 141+ years old 5.5
3187 2006 Götaland 141+ years old 20.4
3188 2006 Götaland 141+ years old 0.5
3189 2006 Götaland 141+ years old 1.0
3190 2006 Götaland 141+ years old 1.5
3191 2006 Götaland 141+ years old 22.1
3192 2007 Norra Norrland 141+ years old 310.8
3193 2007 Norra Norrland 141+ years old 566.1
3194 2007 Södra Norrland 141+ years old 43.5
3195 2007 Södra Norrland 141+ years old 79.1
3196 2007 Södra Norrland 141+ years old 388.2
3197 2007 Svealand 141+ years old 15.2
3198 2007 Svealand 141+ years old 9.8
3199 2007 Svealand 141+ years old 4.3
3200 2007 Svealand 141+ years old 6.1
3201 2007 Svealand 141+ years old 51.3
3202 2007 Svealand 141+ years old 8.1
3203 2007 Svealand 141+ years old 3.6
3204 2007 Svealand 141+ years old 186.8
3205 2007 Götaland 141+ years old 15.7
3206 2007 Götaland 141+ years old 2.1
3207 2007 Götaland 141+ years old 6.0
3208 2007 Götaland 141+ years old 22.1
3209 2007 Götaland 141+ years old 0.5
3210 2007 Götaland 141+ years old 1.5
3211 2007 Götaland 141+ years old 1.2
3212 2007 Götaland 141+ years old 23.9
3213 2008 Norra Norrland 141+ years old 312.9
3214 2008 Norra Norrland 141+ years old 609.8
3215 2008 Södra Norrland 141+ years old 43.0
3216 2008 Södra Norrland 141+ years old 94.4
3217 2008 Södra Norrland 141+ years old 438.7
3218 2008 Svealand 141+ years old 13.9
3219 2008 Svealand 141+ years old 9.1
3220 2008 Svealand 141+ years old 3.8
3221 2008 Svealand 141+ years old 5.4
3222 2008 Svealand 141+ years old 49.6
3223 2008 Svealand 141+ years old 9.6
3224 2008 Svealand 141+ years old 3.6
3225 2008 Svealand 141+ years old 199.2
3226 2008 Götaland 141+ years old 16.7
3227 2008 Götaland 141+ years old 1.5
3228 2008 Götaland 141+ years old 6.4
3229 2008 Götaland 141+ years old 25.9
3230 2008 Götaland 141+ years old 0.9
3231 2008 Götaland 141+ years old 2.0
3232 2008 Götaland 141+ years old 1.2
3233 2008 Götaland 141+ years old 23.3
3234 2009 Norra Norrland 141+ years old 300.2
3235 2009 Norra Norrland 141+ years old 609.6
3236 2009 Södra Norrland 141+ years old 42.3
3237 2009 Södra Norrland 141+ years old 94.6
3238 2009 Södra Norrland 141+ years old 460.8
3239 2009 Svealand 141+ years old 13.7
3240 2009 Svealand 141+ years old 10.5
3241 2009 Svealand 141+ years old 4.6
3242 2009 Svealand 141+ years old 6.2
3243 2009 Svealand 141+ years old 49.6
3244 2009 Svealand 141+ years old 9.3
3245 2009 Svealand 141+ years old 3.5
3246 2009 Svealand 141+ years old 200.5
3247 2009 Götaland 141+ years old 16.7
3248 2009 Götaland 141+ years old 1.7
3249 2009 Götaland 141+ years old 5.8
3250 2009 Götaland 141+ years old 26.5
3251 2009 Götaland 141+ years old 0.9
3252 2009 Götaland 141+ years old 2.0
3253 2009 Götaland 141+ years old 1.2
3254 2009 Götaland 141+ years old 21.8
3255 2010 Norra Norrland 141+ years old 303.0
3256 2010 Norra Norrland 141+ years old 643.7
3257 2010 Södra Norrland 141+ years old 42.3
3258 2010 Södra Norrland 141+ years old 92.2
3259 2010 Södra Norrland 141+ years old 447.0
3260 2010 Svealand 141+ years old 14.6
3261 2010 Svealand 141+ years old 12.4
3262 2010 Svealand 141+ years old 4.5
3263 2010 Svealand 141+ years old 7.2
3264 2010 Svealand 141+ years old 49.5
3265 2010 Svealand 141+ years old 10.5
3266 2010 Svealand 141+ years old 3.9
3267 2010 Svealand 141+ years old 200.3
3268 2010 Götaland 141+ years old 16.7
3269 2010 Götaland 141+ years old 2.1
3270 2010 Götaland 141+ years old 6.0
3271 2010 Götaland 141+ years old 25.3
3272 2010 Götaland 141+ years old 0.9
3273 2010 Götaland 141+ years old 2.0
3274 2010 Götaland 141+ years old 1.9
3275 2010 Götaland 141+ years old 20.8
3276 2011 Norra Norrland 141+ years old 295.9
3277 2011 Norra Norrland 141+ years old 647.0
3278 2011 Södra Norrland 141+ years old 40.9
3279 2011 Södra Norrland 141+ years old 94.8
3280 2011 Södra Norrland 141+ years old 469.7
3281 2011 Svealand 141+ years old 15.2
3282 2011 Svealand 141+ years old 14.8
3283 2011 Svealand 141+ years old 3.9
3284 2011 Svealand 141+ years old 7.1
3285 2011 Svealand 141+ years old 47.5
3286 2011 Svealand 141+ years old 11.0
3287 2011 Svealand 141+ years old 3.5
3288 2011 Svealand 141+ years old 205.5
3289 2011 Götaland 141+ years old 15.6
3290 2011 Götaland 141+ years old 2.1
3291 2011 Götaland 141+ years old 8.6
3292 2011 Götaland 141+ years old 24.1
3293 2011 Götaland 141+ years old 0.9
3294 2011 Götaland 141+ years old 2.7
3295 2011 Götaland 141+ years old 1.7
3296 2011 Götaland 141+ years old 21.2
3297 2012 Norra Norrland 141+ years old 301.5
3298 2012 Norra Norrland 141+ years old 678.5
3299 2012 Södra Norrland 141+ years old 36.4
3300 2012 Södra Norrland 141+ years old 91.0
3301 2012 Södra Norrland 141+ years old 481.4
3302 2012 Svealand 141+ years old 14.1
3303 2012 Svealand 141+ years old 14.1
3304 2012 Svealand 141+ years old 4.4
3305 2012 Svealand 141+ years old 8.5
3306 2012 Svealand 141+ years old 45.9
3307 2012 Svealand 141+ years old 12.9
3308 2012 Svealand 141+ years old 3.9
3309 2012 Svealand 141+ years old 225.1
3310 2012 Götaland 141+ years old 16.4
3311 2012 Götaland 141+ years old 1.9
3312 2012 Götaland 141+ years old 8.4
3313 2012 Götaland 141+ years old 21.8
3314 2012 Götaland 141+ years old 1.2
3315 2012 Götaland 141+ years old 3.6
3316 2012 Götaland 141+ years old 1.9
3317 2012 Götaland 141+ years old 22.8
3318 2013 Norra Norrland 141+ years old 326.1
3319 2013 Norra Norrland 141+ years old 667.8
3320 2013 Södra Norrland 141+ years old 40.0
3321 2013 Södra Norrland 141+ years old 81.9
3322 2013 Södra Norrland 141+ years old 452.7
3323 2013 Svealand 141+ years old 16.3
3324 2013 Svealand 141+ years old 14.7
3325 2013 Svealand 141+ years old 4.9
3326 2013 Svealand 141+ years old 9.7
3327 2013 Svealand 141+ years old 48.7
3328 2013 Svealand 141+ years old 13.1
3329 2013 Svealand 141+ years old 3.9
3330 2013 Svealand 141+ years old 226.6
3331 2013 Götaland 141+ years old 15.2
3332 2013 Götaland 141+ years old 2.1
3333 2013 Götaland 141+ years old 10.7
3334 2013 Götaland 141+ years old 18.4
3335 2013 Götaland 141+ years old 1.4
3336 2013 Götaland 141+ years old 4.2
3337 2013 Götaland 141+ years old 2.2
3338 2013 Götaland 141+ years old 24.8
3339 2014 Norra Norrland 141+ years old 329.5
3340 2014 Norra Norrland 141+ years old 662.4
3341 2014 Södra Norrland 141+ years old 41.7
3342 2014 Södra Norrland 141+ years old 81.8
3343 2014 Södra Norrland 141+ years old 452.7
3344 2014 Svealand 141+ years old 17.6
3345 2014 Svealand 141+ years old 13.2
3346 2014 Svealand 141+ years old 4.6
3347 2014 Svealand 141+ years old 9.2
3348 2014 Svealand 141+ years old 50.8
3349 2014 Svealand 141+ years old 13.5
3350 2014 Svealand 141+ years old 4.7
3351 2014 Svealand 141+ years old 243.8
3352 2014 Götaland 141+ years old 16.5
3353 2014 Götaland 141+ years old 2.0
3354 2014 Götaland 141+ years old 13.9
3355 2014 Götaland 141+ years old 15.0
3356 2014 Götaland 141+ years old 1.4
3357 2014 Götaland 141+ years old 4.2
3358 2014 Götaland 141+ years old 2.2
3359 2014 Götaland 141+ years old 28.4
3360 2015 Norra Norrland 141+ years old 340.6
3361 2015 Norra Norrland 141+ years old 636.5
3362 2015 Södra Norrland 141+ years old 43.4
3363 2015 Södra Norrland 141+ years old 90.3
3364 2015 Södra Norrland 141+ years old 469.1
3365 2015 Svealand 141+ years old 17.6
3366 2015 Svealand 141+ years old 14.6
3367 2015 Svealand 141+ years old 6.2
3368 2015 Svealand 141+ years old 9.9
3369 2015 Svealand 141+ years old 49.2
3370 2015 Svealand 141+ years old 13.2
3371 2015 Svealand 141+ years old 4.4
3372 2015 Svealand 141+ years old 252.8
3373 2015 Götaland 141+ years old 15.9
3374 2015 Götaland 141+ years old 1.9
3375 2015 Götaland 141+ years old 16.2
3376 2015 Götaland 141+ years old 15.5
3377 2015 Götaland 141+ years old 1.4
3378 2015 Götaland 141+ years old 5.6
3379 2015 Götaland 141+ years old 2.5
3380 2015 Götaland 141+ years old 27.8
3381 2016 Norra Norrland 141+ years old 346.6
3382 2016 Norra Norrland 141+ years old 652.9
3383 2016 Södra Norrland 141+ years old 45.7
3384 2016 Södra Norrland 141+ years old 87.2
3385 2016 Södra Norrland 141+ years old 475.6
3386 2016 Svealand 141+ years old 19.9
3387 2016 Svealand 141+ years old 13.4
3388 2016 Svealand 141+ years old 7.4
3389 2016 Svealand 141+ years old 11.3
3390 2016 Svealand 141+ years old 52.5
3391 2016 Svealand 141+ years old 14.4
3392 2016 Svealand 141+ years old 3.8
3393 2016 Svealand 141+ years old 254.1
3394 2016 Götaland 141+ years old 17.9
3395 2016 Götaland 141+ years old 3.2
3396 2016 Götaland 141+ years old 16.0
3397 2016 Götaland 141+ years old 15.9
3398 2016 Götaland 141+ years old 2.0
3399 2016 Götaland 141+ years old 6.8
3400 2016 Götaland 141+ years old 1.7
3401 2016 Götaland 141+ years old 29.3
3402 2017 Norra Norrland 141+ years old 375.3
3403 2017 Norra Norrland 141+ years old 657.2
3404 2017 Södra Norrland 141+ years old 52.7
3405 2017 Södra Norrland 141+ years old 86.1
3406 2017 Södra Norrland 141+ years old 494.2
3407 2017 Svealand 141+ years old 20.9
3408 2017 Svealand 141+ years old 13.3
3409 2017 Svealand 141+ years old 7.8
3410 2017 Svealand 141+ years old 11.3
3411 2017 Svealand 141+ years old 60.7
3412 2017 Svealand 141+ years old 12.4
3413 2017 Svealand 141+ years old 3.6
3414 2017 Svealand 141+ years old 262.4
3415 2017 Götaland 141+ years old 17.9
3416 2017 Götaland 141+ years old 4.9
3417 2017 Götaland 141+ years old 16.1
3418 2017 Götaland 141+ years old 16.2
3419 2017 Götaland 141+ years old 2.6
3420 2017 Götaland 141+ years old 6.8
3421 2017 Götaland 141+ years old 1.2
3422 2017 Götaland 141+ years old 29.9
3423 2018 Norra Norrland 141+ years old 354.8
3424 2018 Norra Norrland 141+ years old 674.4
3425 2018 Södra Norrland 141+ years old 54.0
3426 2018 Södra Norrland 141+ years old 86.8
3427 2018 Södra Norrland 141+ years old 506.3
3428 2018 Svealand 141+ years old 20.9
3429 2018 Svealand 141+ years old 15.9
3430 2018 Svealand 141+ years old 7.5
3431 2018 Svealand 141+ years old 11.1
3432 2018 Svealand 141+ years old 62.9
3433 2018 Svealand 141+ years old 10.3
3434 2018 Svealand 141+ years old 4.8
3435 2018 Svealand 141+ years old 266.4
3436 2018 Götaland 141+ years old 18.0
3437 2018 Götaland 141+ years old 6.0
3438 2018 Götaland 141+ years old 19.4
3439 2018 Götaland 141+ years old 15.7
3440 2018 Götaland 141+ years old 3.7
3441 2018 Götaland 141+ years old 7.7
3442 2018 Götaland 141+ years old 1.0
3443 2018 Götaland 141+ years old 28.8
3444 2019 Norra Norrland 141+ years old 359.1
3445 2019 Norra Norrland 141+ years old 672.3
3446 2019 Södra Norrland 141+ years old 59.6
3447 2019 Södra Norrland 141+ years old 92.0
3448 2019 Södra Norrland 141+ years old 495.1
3449 2019 Svealand 141+ years old 19.6
3450 2019 Svealand 141+ years old 17.8
3451 2019 Svealand 141+ years old 11.0
3452 2019 Svealand 141+ years old 11.6
3453 2019 Svealand 141+ years old 61.1
3454 2019 Svealand 141+ years old 10.7
3455 2019 Svealand 141+ years old 4.3
3456 2019 Svealand 141+ years old 261.8
3457 2019 Götaland 141+ years old 17.3
3458 2019 Götaland 141+ years old 8.0
3459 2019 Götaland 141+ years old 17.7
3460 2019 Götaland 141+ years old 17.9
3461 2019 Götaland 141+ years old 3.7
3462 2019 Götaland 141+ years old 8.4
3463 2019 Götaland 141+ years old 2.1
3464 2019 Götaland 141+ years old 32.4
In [371]:
bar_animated_prot_unprot2
Out[371]:
Year Type of Forest Average age Age Category Percent Percent of Surface
0 2005 Unprotected 56.8 Clear-cut Percent 4.4
1 2006 Unprotected 56.7 Clear-cut Percent 4.3
2 2007 Unprotected 56.6 Clear-cut Percent 4.3
3 2008 Unprotected 56.8 Clear-cut Percent 4.2
4 2009 Unprotected 56.8 Clear-cut Percent 4.1
5 2010 Unprotected 56.6 Clear-cut Percent 4.2
6 2011 Unprotected 56.8 Clear-cut Percent 4.1
7 2012 Unprotected 56.8 Clear-cut Percent 4.1
8 2013 Unprotected 56.5 Clear-cut Percent 4.3
9 2014 Unprotected 56.5 Clear-cut Percent 4.4
10 2015 Unprotected 56.7 Clear-cut Percent 4.3
11 2016 Unprotected 56.7 Clear-cut Percent 4.4
12 2017 Unprotected 56.9 Clear-cut Percent 4.3
13 2018 Unprotected 57.1 Clear-cut Percent 4.2
14 2019 Unprotected 57.0 Clear-cut Percent 4.4
15 2005 Protected 113.4 Clear-cut Percent 1.2
16 2006 Protected 113.3 Clear-cut Percent 1.1
17 2007 Protected 111.9 Clear-cut Percent 1.1
18 2008 Protected 113.5 Clear-cut Percent 1.1
19 2009 Protected 114.5 Clear-cut Percent 0.8
20 2010 Protected 114.5 Clear-cut Percent 0.9
21 2011 Protected 115.1 Clear-cut Percent 1.0
22 2012 Protected 116.9 Clear-cut Percent 0.9
23 2013 Protected 117.5 Clear-cut Percent 0.7
24 2014 Protected 117.8 Clear-cut Percent 0.7
25 2015 Protected 118.3 Clear-cut Percent 0.8
26 2016 Protected 119.1 Clear-cut Percent 0.7
27 2017 Protected 119.3 Clear-cut Percent 0.9
28 2018 Protected 119.2 Clear-cut Percent 0.9
29 2019 Protected 119.3 Clear-cut Percent 0.9
30 2005 Unprotected 56.8 3-10 years Percent 8.5
31 2006 Unprotected 56.7 3-10 years Percent 8.5
32 2007 Unprotected 56.6 3-10 years Percent 8.5
33 2008 Unprotected 56.8 3-10 years Percent 8.4
34 2009 Unprotected 56.8 3-10 years Percent 8.5
35 2010 Unprotected 56.6 3-10 years Percent 8.6
36 2011 Unprotected 56.8 3-10 years Percent 8.6
37 2012 Unprotected 56.8 3-10 years Percent 8.6
38 2013 Unprotected 56.5 3-10 years Percent 8.5
39 2014 Unprotected 56.5 3-10 years Percent 8.6
40 2015 Unprotected 56.7 3-10 years Percent 8.5
41 2016 Unprotected 56.7 3-10 years Percent 8.4
42 2017 Unprotected 56.9 3-10 years Percent 8.3
43 2018 Unprotected 57.1 3-10 years Percent 8.4
44 2019 Unprotected 57.0 3-10 years Percent 8.2
45 2005 Protected 113.4 3-10 years Percent 1.8
46 2006 Protected 113.3 3-10 years Percent 1.8
47 2007 Protected 111.9 3-10 years Percent 1.7
48 2008 Protected 113.5 3-10 years Percent 1.3
49 2009 Protected 114.5 3-10 years Percent 1.1
50 2010 Protected 114.5 3-10 years Percent 1.2
51 2011 Protected 115.1 3-10 years Percent 1.3
52 2012 Protected 116.9 3-10 years Percent 1.3
53 2013 Protected 117.5 3-10 years Percent 1.2
54 2014 Protected 117.8 3-10 years Percent 1.3
55 2015 Protected 118.3 3-10 years Percent 1.1
56 2016 Protected 119.1 3-10 years Percent 1.0
57 2017 Protected 119.3 3-10 years Percent 1.0
58 2018 Protected 119.2 3-10 years Percent 1.1
59 2019 Protected 119.3 3-10 years Percent 1.1
60 2005 Unprotected 56.8 11 - 20 years Percent 10.3
61 2006 Unprotected 56.7 11 - 20 years Percent 10.3
62 2007 Unprotected 56.6 11 - 20 years Percent 10.2
63 2008 Unprotected 56.8 11 - 20 years Percent 9.9
64 2009 Unprotected 56.8 11 - 20 years Percent 9.7
65 2010 Unprotected 56.6 11 - 20 years Percent 9.6
66 2011 Unprotected 56.8 11 - 20 years Percent 9.4
67 2012 Unprotected 56.8 11 - 20 years Percent 9.3
68 2013 Unprotected 56.5 11 - 20 years Percent 9.2
69 2014 Unprotected 56.5 11 - 20 years Percent 9.0
70 2015 Unprotected 56.7 11 - 20 years Percent 8.9
71 2016 Unprotected 56.7 11 - 20 years Percent 8.8
72 2017 Unprotected 56.9 11 - 20 years Percent 8.9
73 2018 Unprotected 57.1 11 - 20 years Percent 9.0
74 2019 Unprotected 57.0 11 - 20 years Percent 9.1
75 2005 Protected 113.4 11 - 20 years Percent 1.7
76 2006 Protected 113.3 11 - 20 years Percent 1.5
77 2007 Protected 111.9 11 - 20 years Percent 1.8
78 2008 Protected 113.5 11 - 20 years Percent 1.9
79 2009 Protected 114.5 11 - 20 years Percent 1.9
80 2010 Protected 114.5 11 - 20 years Percent 1.9
81 2011 Protected 115.1 11 - 20 years Percent 1.9
82 2012 Protected 116.9 11 - 20 years Percent 1.7
83 2013 Protected 117.5 11 - 20 years Percent 2.0
84 2014 Protected 117.8 11 - 20 years Percent 1.6
85 2015 Protected 118.3 11 - 20 years Percent 1.4
86 2016 Protected 119.1 11 - 20 years Percent 1.5
87 2017 Protected 119.3 11 - 20 years Percent 1.4
88 2018 Protected 119.2 11 - 20 years Percent 1.2
89 2019 Protected 119.3 11 - 20 years Percent 1.2
90 2005 Unprotected 56.8 21 - 30 years Percent 11.3
91 2006 Unprotected 56.7 21 - 30 years Percent 11.4
92 2007 Unprotected 56.6 21 - 30 years Percent 11.3
93 2008 Unprotected 56.8 21 - 30 years Percent 11.4
94 2009 Unprotected 56.8 21 - 30 years Percent 11.3
95 2010 Unprotected 56.6 21 - 30 years Percent 11.1
96 2011 Unprotected 56.8 21 - 30 years Percent 10.9
97 2012 Unprotected 56.8 21 - 30 years Percent 10.6
98 2013 Unprotected 56.5 21 - 30 years Percent 10.2
99 2014 Unprotected 56.5 21 - 30 years Percent 10.2
100 2015 Unprotected 56.7 21 - 30 years Percent 10.0
101 2016 Unprotected 56.7 21 - 30 years Percent 10.0
102 2017 Unprotected 56.9 21 - 30 years Percent 10.0
103 2018 Unprotected 57.1 21 - 30 years Percent 9.6
104 2019 Unprotected 57.0 21 - 30 years Percent 9.6
105 2005 Protected 113.4 21 - 30 years Percent 2.1
106 2006 Protected 113.3 21 - 30 years Percent 2.2
107 2007 Protected 111.9 21 - 30 years Percent 2.0
108 2008 Protected 113.5 21 - 30 years Percent 2.0
109 2009 Protected 114.5 21 - 30 years Percent 2.0
110 2010 Protected 114.5 21 - 30 years Percent 2.1
111 2011 Protected 115.1 21 - 30 years Percent 2.0
112 2012 Protected 116.9 21 - 30 years Percent 1.9
113 2013 Protected 117.5 21 - 30 years Percent 1.6
114 2014 Protected 117.8 21 - 30 years Percent 1.6
115 2015 Protected 118.3 21 - 30 years Percent 1.7
116 2016 Protected 119.1 21 - 30 years Percent 1.5
117 2017 Protected 119.3 21 - 30 years Percent 1.5
118 2018 Protected 119.2 21 - 30 years Percent 1.7
119 2019 Protected 119.3 21 - 30 years Percent 1.8
120 2005 Unprotected 56.8 31 - 40 years Percent 10.4
121 2006 Unprotected 56.7 31 - 40 years Percent 10.4
122 2007 Unprotected 56.6 31 - 40 years Percent 10.5
123 2008 Unprotected 56.8 31 - 40 years Percent 10.6
124 2009 Unprotected 56.8 31 - 40 years Percent 10.8
125 2010 Unprotected 56.6 31 - 40 years Percent 10.9
126 2011 Unprotected 56.8 31 - 40 years Percent 11.4
127 2012 Unprotected 56.8 31 - 40 years Percent 11.4
128 2013 Unprotected 56.5 31 - 40 years Percent 11.7
129 2014 Unprotected 56.5 31 - 40 years Percent 11.9
130 2015 Unprotected 56.7 31 - 40 years Percent 11.8
131 2016 Unprotected 56.7 31 - 40 years Percent 11.8
132 2017 Unprotected 56.9 31 - 40 years Percent 11.7
133 2018 Unprotected 57.1 31 - 40 years Percent 11.6
134 2019 Unprotected 57.0 31 - 40 years Percent 11.4
135 2005 Protected 113.4 31 - 40 years Percent 1.3
136 2006 Protected 113.3 31 - 40 years Percent 1.5
137 2007 Protected 111.9 31 - 40 years Percent 1.9
138 2008 Protected 113.5 31 - 40 years Percent 2.0
139 2009 Protected 114.5 31 - 40 years Percent 1.9
140 2010 Protected 114.5 31 - 40 years Percent 2.1
141 2011 Protected 115.1 31 - 40 years Percent 1.9
142 2012 Protected 116.9 31 - 40 years Percent 1.8
143 2013 Protected 117.5 31 - 40 years Percent 1.7
144 2014 Protected 117.8 31 - 40 years Percent 2.1
145 2015 Protected 118.3 31 - 40 years Percent 2.2
146 2016 Protected 119.1 31 - 40 years Percent 2.4
147 2017 Protected 119.3 31 - 40 years Percent 1.9
148 2018 Protected 119.2 31 - 40 years Percent 2.1
149 2019 Protected 119.3 31 - 40 years Percent 2.0
150 2005 Unprotected 56.8 41 - 60 years Percent 15.8
151 2006 Unprotected 56.7 41 - 60 years Percent 16.2
152 2007 Unprotected 56.6 41 - 60 years Percent 16.5
153 2008 Unprotected 56.8 41 - 60 years Percent 17.0
154 2009 Unprotected 56.8 41 - 60 years Percent 17.5
155 2010 Unprotected 56.6 41 - 60 years Percent 17.8
156 2011 Unprotected 56.8 41 - 60 years Percent 17.8
157 2012 Unprotected 56.8 41 - 60 years Percent 18.1
158 2013 Unprotected 56.5 41 - 60 years Percent 18.6
159 2014 Unprotected 56.5 41 - 60 years Percent 18.6
160 2015 Unprotected 56.7 41 - 60 years Percent 19.1
161 2016 Unprotected 56.7 41 - 60 years Percent 19.4
162 2017 Unprotected 56.9 41 - 60 years Percent 19.4
163 2018 Unprotected 57.1 41 - 60 years Percent 19.3
164 2019 Unprotected 57.0 41 - 60 years Percent 19.5
165 2005 Protected 113.4 41 - 60 years Percent 6.1
166 2006 Protected 113.3 41 - 60 years Percent 6.2
167 2007 Protected 111.9 41 - 60 years Percent 6.8
168 2008 Protected 113.5 41 - 60 years Percent 5.9
169 2009 Protected 114.5 41 - 60 years Percent 5.5
170 2010 Protected 114.5 41 - 60 years Percent 5.7
171 2011 Protected 115.1 41 - 60 years Percent 5.3
172 2012 Protected 116.9 41 - 60 years Percent 4.8
173 2013 Protected 117.5 41 - 60 years Percent 4.9
174 2014 Protected 117.8 41 - 60 years Percent 4.9
175 2015 Protected 118.3 41 - 60 years Percent 4.7
176 2016 Protected 119.1 41 - 60 years Percent 4.6
177 2017 Protected 119.3 41 - 60 years Percent 4.6
178 2018 Protected 119.2 41 - 60 years Percent 4.4
179 2019 Protected 119.3 41 - 60 years Percent 3.8
180 2005 Unprotected 56.8 61 - 80 years Percent 10.9
181 2006 Unprotected 56.7 61 - 80 years Percent 10.8
182 2007 Unprotected 56.6 61 - 80 years Percent 10.6
183 2008 Unprotected 56.8 61 - 80 years Percent 10.5
184 2009 Unprotected 56.8 61 - 80 years Percent 10.6
185 2010 Unprotected 56.6 61 - 80 years Percent 10.5
186 2011 Unprotected 56.8 61 - 80 years Percent 10.4
187 2012 Unprotected 56.8 61 - 80 years Percent 10.7
188 2013 Unprotected 56.5 61 - 80 years Percent 10.6
189 2014 Unprotected 56.5 61 - 80 years Percent 10.6
190 2015 Unprotected 56.7 61 - 80 years Percent 10.8
191 2016 Unprotected 56.7 61 - 80 years Percent 10.9
192 2017 Unprotected 56.9 61 - 80 years Percent 11.2
193 2018 Unprotected 57.1 61 - 80 years Percent 11.6
194 2019 Unprotected 57.0 61 - 80 years Percent 11.9
195 2005 Protected 113.4 61 - 80 years Percent 7.9
196 2006 Protected 113.3 61 - 80 years Percent 7.9
197 2007 Protected 111.9 61 - 80 years Percent 8.6
198 2008 Protected 113.5 61 - 80 years Percent 8.0
199 2009 Protected 114.5 61 - 80 years Percent 8.0
200 2010 Protected 114.5 61 - 80 years Percent 7.7
201 2011 Protected 115.1 61 - 80 years Percent 7.5
202 2012 Protected 116.9 61 - 80 years Percent 6.7
203 2013 Protected 117.5 61 - 80 years Percent 6.6
204 2014 Protected 117.8 61 - 80 years Percent 6.2
205 2015 Protected 118.3 61 - 80 years Percent 6.2
206 2016 Protected 119.1 61 - 80 years Percent 5.6
207 2017 Protected 119.3 61 - 80 years Percent 5.7
208 2018 Protected 119.2 61 - 80 years Percent 5.6
209 2019 Protected 119.3 61 - 80 years Percent 6.4
210 2005 Unprotected 56.8 81 - 100 years Percent 9.3
211 2006 Unprotected 56.7 81 - 100 years Percent 9.1
212 2007 Unprotected 56.6 81 - 100 years Percent 8.9
213 2008 Unprotected 56.8 81 - 100 years Percent 8.9
214 2009 Unprotected 56.8 81 - 100 years Percent 8.7
215 2010 Unprotected 56.6 81 - 100 years Percent 8.7
216 2011 Unprotected 56.8 81 - 100 years Percent 8.7
217 2012 Unprotected 56.8 81 - 100 years Percent 8.8
218 2013 Unprotected 56.5 81 - 100 years Percent 8.7
219 2014 Unprotected 56.5 81 - 100 years Percent 8.7
220 2015 Unprotected 56.7 81 - 100 years Percent 8.5
221 2016 Unprotected 56.7 81 - 100 years Percent 8.3
222 2017 Unprotected 56.9 81 - 100 years Percent 8.0
223 2018 Unprotected 57.1 81 - 100 years Percent 7.9
224 2019 Unprotected 57.0 81 - 100 years Percent 7.7
225 2005 Protected 113.4 81 - 100 years Percent 9.3
226 2006 Protected 113.3 81 - 100 years Percent 9.4
227 2007 Protected 111.9 81 - 100 years Percent 9.8
228 2008 Protected 113.5 81 - 100 years Percent 9.1
229 2009 Protected 114.5 81 - 100 years Percent 9.5
230 2010 Protected 114.5 81 - 100 years Percent 9.2
231 2011 Protected 115.1 81 - 100 years Percent 9.3
232 2012 Protected 116.9 81 - 100 years Percent 9.8
233 2013 Protected 117.5 81 - 100 years Percent 10.1
234 2014 Protected 117.8 81 - 100 years Percent 9.7
235 2015 Protected 118.3 81 - 100 years Percent 9.9
236 2016 Protected 119.1 81 - 100 years Percent 10.0
237 2017 Protected 119.3 81 - 100 years Percent 9.8
238 2018 Protected 119.2 81 - 100 years Percent 9.9
239 2019 Protected 119.3 81 - 100 years Percent 9.8
240 2005 Unprotected 56.8 101 - 120 years Percent 7.6
241 2006 Unprotected 56.7 101 - 120 years Percent 7.5
242 2007 Unprotected 56.6 101 - 120 years Percent 7.5
243 2008 Unprotected 56.8 101 - 120 years Percent 7.4
244 2009 Unprotected 56.8 101 - 120 years Percent 7.1
245 2010 Unprotected 56.6 101 - 120 years Percent 6.9
246 2011 Unprotected 56.8 101 - 120 years Percent 6.9
247 2012 Unprotected 56.8 101 - 120 years Percent 6.6
248 2013 Unprotected 56.5 101 - 120 years Percent 6.5
249 2014 Unprotected 56.5 101 - 120 years Percent 6.4
250 2015 Unprotected 56.7 101 - 120 years Percent 6.2
251 2016 Unprotected 56.7 101 - 120 years Percent 6.0
252 2017 Unprotected 56.9 101 - 120 years Percent 6.0
253 2018 Unprotected 57.1 101 - 120 years Percent 5.9
254 2019 Unprotected 57.0 101 - 120 years Percent 5.9
255 2005 Protected 113.4 101 - 120 years Percent 12.2
256 2006 Protected 113.3 101 - 120 years Percent 11.7
257 2007 Protected 111.9 101 - 120 years Percent 12.1
258 2008 Protected 113.5 101 - 120 years Percent 12.6
259 2009 Protected 114.5 101 - 120 years Percent 12.6
260 2010 Protected 114.5 101 - 120 years Percent 12.4
261 2011 Protected 115.1 101 - 120 years Percent 11.9
262 2012 Protected 116.9 101 - 120 years Percent 11.0
263 2013 Protected 117.5 101 - 120 years Percent 10.0
264 2014 Protected 117.8 101 - 120 years Percent 10.3
265 2015 Protected 118.3 101 - 120 years Percent 10.1
266 2016 Protected 119.1 101 - 120 years Percent 10.4
267 2017 Protected 119.3 101 - 120 years Percent 10.7
268 2018 Protected 119.2 101 - 120 years Percent 10.7
269 2019 Protected 119.3 101 - 120 years Percent 10.6
270 2005 Unprotected 56.8 121 - 140 years Percent 6.1
271 2006 Unprotected 56.7 121 - 140 years Percent 6.2
272 2007 Unprotected 56.6 121 - 140 years Percent 6.1
273 2008 Unprotected 56.8 121 - 140 years Percent 5.9
274 2009 Unprotected 56.8 121 - 140 years Percent 5.8
275 2010 Unprotected 56.6 121 - 140 years Percent 5.7
276 2011 Unprotected 56.8 121 - 140 years Percent 5.7
277 2012 Unprotected 56.8 121 - 140 years Percent 5.5
278 2013 Unprotected 56.5 121 - 140 years Percent 5.4
279 2014 Unprotected 56.5 121 - 140 years Percent 5.5
280 2015 Unprotected 56.7 121 - 140 years Percent 5.5
281 2016 Unprotected 56.7 121 - 140 years Percent 5.5
282 2017 Unprotected 56.9 121 - 140 years Percent 5.4
283 2018 Unprotected 57.1 121 - 140 years Percent 5.5
284 2019 Unprotected 57.0 121 - 140 years Percent 5.3
285 2005 Protected 113.4 121 - 140 years Percent 13.9
286 2006 Protected 113.3 121 - 140 years Percent 14.0
287 2007 Protected 111.9 121 - 140 years Percent 13.4
288 2008 Protected 113.5 121 - 140 years Percent 13.5
289 2009 Protected 114.5 121 - 140 years Percent 13.6
290 2010 Protected 114.5 121 - 140 years Percent 12.8
291 2011 Protected 115.1 121 - 140 years Percent 13.5
292 2012 Protected 116.9 121 - 140 years Percent 13.8
293 2013 Protected 117.5 121 - 140 years Percent 13.4
294 2014 Protected 117.8 121 - 140 years Percent 14.1
295 2015 Protected 118.3 121 - 140 years Percent 14.3
296 2016 Protected 119.1 121 - 140 years Percent 13.5
297 2017 Protected 119.3 121 - 140 years Percent 13.2
298 2018 Protected 119.2 121 - 140 years Percent 13.5
299 2019 Protected 119.3 121 - 140 years Percent 13.1
300 2005 Unprotected 56.8 141+ years Percent 5.5
301 2006 Unprotected 56.7 141+ years Percent 5.5
302 2007 Unprotected 56.6 141+ years Percent 5.5
303 2008 Unprotected 56.8 141+ years Percent 5.9
304 2009 Unprotected 56.8 141+ years Percent 6.0
305 2010 Unprotected 56.6 141+ years Percent 6.1
306 2011 Unprotected 56.8 141+ years Percent 6.2
307 2012 Unprotected 56.8 141+ years Percent 6.3
308 2013 Unprotected 56.5 141+ years Percent 6.2
309 2014 Unprotected 56.5 141+ years Percent 6.2
310 2015 Unprotected 56.7 141+ years Percent 6.4
311 2016 Unprotected 56.7 141+ years Percent 6.5
312 2017 Unprotected 56.9 141+ years Percent 6.7
313 2018 Unprotected 57.1 141+ years Percent 6.9
314 2019 Unprotected 57.0 141+ years Percent 7.0
315 2005 Protected 113.4 141+ years Percent 42.5
316 2006 Protected 113.3 141+ years Percent 42.5
317 2007 Protected 111.9 141+ years Percent 41.0
318 2008 Protected 113.5 141+ years Percent 42.5
319 2009 Protected 114.5 141+ years Percent 43.1
320 2010 Protected 114.5 141+ years Percent 44.1
321 2011 Protected 115.1 141+ years Percent 44.4
322 2012 Protected 116.9 141+ years Percent 46.4
323 2013 Protected 117.5 141+ years Percent 47.7
324 2014 Protected 117.8 141+ years Percent 47.4
325 2015 Protected 118.3 141+ years Percent 47.7
326 2016 Protected 119.1 141+ years Percent 48.9
327 2017 Protected 119.3 141+ years Percent 49.3
328 2018 Protected 119.2 141+ years Percent 48.9
329 2019 Protected 119.3 141+ years Percent 49.4
  • If I want the graph to show the numbers for Regions or all country, numbers should be pivoted beforehand
  • percents need to be recalculated per region/country . this works only by county as is

whoel country¶

In [35]:
import plotly.express as px
# for i in bar_animated_prot_unprot2['County'].unique():
# bar_animated_prot_unprot2_data= bar_animated_prot_unprot2[bar_animated_prot_unprot2['County']==i]

fig = px.bar(bar_animated_prot_unprot2, x='Age Category Percent', y='Percent of Surface', 
                 color='Type of Forest', 
             color_discrete_map={'Unprotected': 'rgb(188,188,188)',
                                    'Protected': 'rgb(29,121,29)'},
                 animation_frame='Year', 
                 range_y=[0,60], barmode="group")
fig.update_layout(
        width=800,
    height=500,
    title={
        'text': '<b>Comparison of Age Structure - Production versus Natural Forests',
        'y':0.95,
        'x':0.45,
        'xanchor': 'center',
        'yanchor': 'top'})
fig.show()

By region:¶

In [3]:
bar_animated_region_prot= pd.read_csv(r'graphs\age structure protected versus unprotected region.csv')
In [4]:
bar_animated_region_prot.head()
Out[4]:
Year Region Type of Forest Clear-cut Percent 3-10 years Percent 11 - 20 years Percent 21 - 30 years Percent 31 - 40 years Percent 41 - 60 years Percent 61 - 80 years Percent 81 - 100 years Percent 101 - 120 years Percent 121 - 140 years Percent 141+ years Percent Average age of trees
0 2005 Norra Norrland Protected 0.6 0.5 0.2 0.7 0.3 2.7 5.7 8.9 11.3 13.6 55.6 127.1
1 2005 Södra Norrland Protected 0.0 1.7 2.6 1.7 0.4 3.5 3.6 5.5 9.8 17.7 53.3 124.1
2 2005 Svealand Protected 4.1 3.1 3.7 3.7 3.4 11.6 9.8 9.0 15.5 15.3 20.5 91.4
3 2005 Götaland Protected 0.6 6.2 4.5 6.7 3.5 15.5 20.1 15.9 13.1 8.3 5.6 73.6
4 2005 All regions Protected 1.2 1.8 1.7 2.1 1.3 6.1 7.9 9.3 12.2 13.9 42.5 113.4
In [5]:
bar_animated_region_prot= bar_animated_region_prot.iloc[:, :-1]
In [6]:
bar_animated_region=  pd.melt(bar_animated_region_prot, id_vars= ['Year', 'Region', 'Type of Forest'], value_vars= bar_animated_region_prot.columns[3:], var_name= 'Age Category Percent', value_name= 'Percent of Surface' )
In [7]:
bar_animated_region
Out[7]:
Year Region Type of Forest Age Category Percent Percent of Surface
0 2005 Norra Norrland Protected Clear-cut Percent 0.6
1 2005 Södra Norrland Protected Clear-cut Percent 0.0
2 2005 Svealand Protected Clear-cut Percent 4.1
3 2005 Götaland Protected Clear-cut Percent 0.6
4 2005 All regions Protected Clear-cut Percent 1.2
... ... ... ... ... ...
1645 2019 Norra Norrland Unprotected 141+ years Percent 9.5
1646 2019 Södra Norrland Unprotected 141+ years Percent 9.2
1647 2019 Svealand Unprotected 141+ years Percent 5.9
1648 2019 Götaland Unprotected 141+ years Percent 2.1
1649 2019 All regions Unprotected 141+ years Percent 7.0

1650 rows × 5 columns

in Dash, add control for user to select the region. default to whole country¶

First, put the 2 types of forest separately, protected and unprotected¶

then together

In [21]:
import plotly.express as px
for i in bar_animated_region['Region'].unique():
    bar_animated_region_data = bar_animated_region[bar_animated_region['Region']==i]

    fig = px.bar(bar_animated_region_data, x='Age Category Percent', y='Percent of Surface', 
                 color='Type of Forest',
                 facet_col='Type of Forest',
#                                   color_discrete_sequence=px.colors.sequential.Greens,
                 color_discrete_map={'Unprotected': 'rgb(188,188,188)',
                                    'Protected': 'rgb(29,121,29)'},
                 animation_frame='Year', 
                 range_y=[0,55], barmode="group")
    fig.update_layout(
        width=1000,
    height=550,
        legend=dict(x=0,y=-0.7),
    title={
        'text': '<b>Protected versus Exploited Forest: Age Structure - ' + str(i),
        'y':0.98,
        'x':0.45,
        'xanchor': 'center',
        'yanchor': 'top'})
    fig.show()
In [ ]:
 
In [ ]:
 
In [387]:
import numpy as np
bar_animated_pivot= pd.pivot_table(bar_animated, index= ['Year', 'Region', 'Age Category'],  values= 'Surface (1000 hectares)', aggfunc= np.sum)
In [388]:
bar_animated_pivot= bar_animated_pivot.reset_index()
In [389]:
# Arrange the age structure by logic
age_categories= bar_animated_pivot['Age Category'].unique()
order= [9, 3, 10, 11, 4, 2, 5,6,7, 8,1]
In [390]:
age= pd.DataFrame()
In [391]:
age['Age Category']= age_categories
age['Order']= order
In [392]:
age
Out[392]:
Age Category Order
0 101 - 120 years old 9
1 11 - 20 years old 3
2 121 - 140 years old 10
3 141+ years old 11
4 21 - 30 years old 4
5 3-10 years old 2
6 31 - 40 years old 5
7 41 - 60 years old 6
8 61 - 80 years old 7
9 81 - 100 years old 8
10 Clear-cut 1
In [ ]:
 
In [393]:
bar_animated_pivot= bar_animated_pivot.merge(age, on= 'Age Category', how='outer')
In [394]:
bar_animated_pivot= bar_animated_pivot.sort_values( by= ['Region', 'Year', 'Order'])
In [395]:
bar_animated_pivot
Out[395]:
Year Region Age Category Surface (1000 hectares) Order
600 2005 Götaland Clear-cut 205.3 1
300 2005 Götaland 3-10 years old 386.6 2
60 2005 Götaland 11 - 20 years old 433.2 3
240 2005 Götaland 21 - 30 years old 455.2 4
360 2005 Götaland 31 - 40 years old 499.9 5
420 2005 Götaland 41 - 60 years old 752.7 6
480 2005 Götaland 61 - 80 years old 698.8 7
540 2005 Götaland 81 - 100 years old 486.2 8
0 2005 Götaland 101 - 120 years old 281.8 9
120 2005 Götaland 121 - 140 years old 120.7 10
180 2005 Götaland 141+ years old 62.4 11
604 2006 Götaland Clear-cut 218.7 1
304 2006 Götaland 3-10 years old 391.6 2
64 2006 Götaland 11 - 20 years old 419.6 3
244 2006 Götaland 21 - 30 years old 444.6 4
364 2006 Götaland 31 - 40 years old 487.5 5
424 2006 Götaland 41 - 60 years old 755.1 6
484 2006 Götaland 61 - 80 years old 687.3 7
544 2006 Götaland 81 - 100 years old 478.4 8
4 2006 Götaland 101 - 120 years old 283.0 9
124 2006 Götaland 121 - 140 years old 120.5 10
184 2006 Götaland 141+ years old 67.6 11
608 2007 Götaland Clear-cut 228.1 1
308 2007 Götaland 3-10 years old 410.2 2
68 2007 Götaland 11 - 20 years old 435.4 3
248 2007 Götaland 21 - 30 years old 434.9 4
368 2007 Götaland 31 - 40 years old 480.5 5
428 2007 Götaland 41 - 60 years old 760.1 6
488 2007 Götaland 61 - 80 years old 671.6 7
548 2007 Götaland 81 - 100 years old 475.5 8
8 2007 Götaland 101 - 120 years old 289.6 9
128 2007 Götaland 121 - 140 years old 129.6 10
188 2007 Götaland 141+ years old 73.0 11
612 2008 Götaland Clear-cut 224.0 1
312 2008 Götaland 3-10 years old 418.3 2
72 2008 Götaland 11 - 20 years old 439.8 3
252 2008 Götaland 21 - 30 years old 425.9 4
372 2008 Götaland 31 - 40 years old 498.6 5
432 2008 Götaland 41 - 60 years old 748.9 6
492 2008 Götaland 61 - 80 years old 638.8 7
552 2008 Götaland 81 - 100 years old 479.0 8
12 2008 Götaland 101 - 120 years old 303.5 9
132 2008 Götaland 121 - 140 years old 122.9 10
192 2008 Götaland 141+ years old 77.9 11
616 2009 Götaland Clear-cut 215.2 1
316 2009 Götaland 3-10 years old 423.1 2
76 2009 Götaland 11 - 20 years old 433.2 3
256 2009 Götaland 21 - 30 years old 409.6 4
376 2009 Götaland 31 - 40 years old 516.4 5
436 2009 Götaland 41 - 60 years old 766.9 6
496 2009 Götaland 61 - 80 years old 620.2 7
556 2009 Götaland 81 - 100 years old 473.5 8
16 2009 Götaland 101 - 120 years old 297.5 9
136 2009 Götaland 121 - 140 years old 122.5 10
196 2009 Götaland 141+ years old 76.6 11
620 2010 Götaland Clear-cut 208.0 1
320 2010 Götaland 3-10 years old 440.6 2
80 2010 Götaland 11 - 20 years old 436.2 3
260 2010 Götaland 21 - 30 years old 415.0 4
380 2010 Götaland 31 - 40 years old 504.2 5
440 2010 Götaland 41 - 60 years old 773.8 6
500 2010 Götaland 61 - 80 years old 617.1 7
560 2010 Götaland 81 - 100 years old 482.8 8
20 2010 Götaland 101 - 120 years old 291.9 9
140 2010 Götaland 121 - 140 years old 129.6 10
200 2010 Götaland 141+ years old 75.7 11
624 2011 Götaland Clear-cut 197.6 1
324 2011 Götaland 3-10 years old 483.0 2
84 2011 Götaland 11 - 20 years old 440.6 3
264 2011 Götaland 21 - 30 years old 402.2 4
384 2011 Götaland 31 - 40 years old 521.6 5
444 2011 Götaland 41 - 60 years old 783.4 6
504 2011 Götaland 61 - 80 years old 603.9 7
564 2011 Götaland 81 - 100 years old 485.0 8
24 2011 Götaland 101 - 120 years old 297.4 9
144 2011 Götaland 121 - 140 years old 125.6 10
204 2011 Götaland 141+ years old 76.9 11
628 2012 Götaland Clear-cut 201.9 1
328 2012 Götaland 3-10 years old 483.0 2
88 2012 Götaland 11 - 20 years old 435.4 3
268 2012 Götaland 21 - 30 years old 400.1 4
388 2012 Götaland 31 - 40 years old 514.7 5
448 2012 Götaland 41 - 60 years old 794.9 6
508 2012 Götaland 61 - 80 years old 587.0 7
568 2012 Götaland 81 - 100 years old 495.8 8
28 2012 Götaland 101 - 120 years old 285.5 9
148 2012 Götaland 121 - 140 years old 131.2 10
208 2012 Götaland 141+ years old 78.0 11
632 2013 Götaland Clear-cut 204.2 1
332 2013 Götaland 3-10 years old 493.2 2
92 2013 Götaland 11 - 20 years old 435.1 3
272 2013 Götaland 21 - 30 years old 400.7 4
392 2013 Götaland 31 - 40 years old 508.2 5
452 2013 Götaland 41 - 60 years old 847.0 6
512 2013 Götaland 61 - 80 years old 570.4 7
572 2013 Götaland 81 - 100 years old 487.1 8
32 2013 Götaland 101 - 120 years old 281.5 9
152 2013 Götaland 121 - 140 years old 136.6 10
212 2013 Götaland 141+ years old 79.0 11
636 2014 Götaland Clear-cut 203.6 1
336 2014 Götaland 3-10 years old 501.7 2
96 2014 Götaland 11 - 20 years old 437.2 3
276 2014 Götaland 21 - 30 years old 410.8 4
396 2014 Götaland 31 - 40 years old 495.8 5
456 2014 Götaland 41 - 60 years old 861.0 6
516 2014 Götaland 61 - 80 years old 568.6 7
576 2014 Götaland 81 - 100 years old 485.1 8
36 2014 Götaland 101 - 120 years old 282.3 9
156 2014 Götaland 121 - 140 years old 135.2 10
216 2014 Götaland 141+ years old 83.6 11
640 2015 Götaland Clear-cut 199.2 1
340 2015 Götaland 3-10 years old 475.5 2
100 2015 Götaland 11 - 20 years old 454.9 3
280 2015 Götaland 21 - 30 years old 425.5 4
400 2015 Götaland 31 - 40 years old 499.7 5
460 2015 Götaland 41 - 60 years old 874.3 6
520 2015 Götaland 61 - 80 years old 543.1 7
580 2015 Götaland 81 - 100 years old 479.0 8
40 2015 Götaland 101 - 120 years old 276.5 9
160 2015 Götaland 121 - 140 years old 141.0 10
220 2015 Götaland 141+ years old 86.8 11
644 2016 Götaland Clear-cut 203.2 1
344 2016 Götaland 3-10 years old 436.9 2
104 2016 Götaland 11 - 20 years old 467.3 3
284 2016 Götaland 21 - 30 years old 429.1 4
404 2016 Götaland 31 - 40 years old 479.4 5
464 2016 Götaland 41 - 60 years old 885.4 6
524 2016 Götaland 61 - 80 years old 541.7 7
584 2016 Götaland 81 - 100 years old 472.2 8
44 2016 Götaland 101 - 120 years old 278.1 9
164 2016 Götaland 121 - 140 years old 143.5 10
224 2016 Götaland 141+ years old 92.8 11
648 2017 Götaland Clear-cut 200.2 1
348 2017 Götaland 3-10 years old 420.0 2
108 2017 Götaland 11 - 20 years old 492.1 3
288 2017 Götaland 21 - 30 years old 432.9 4
408 2017 Götaland 31 - 40 years old 471.7 5
468 2017 Götaland 41 - 60 years old 894.9 6
528 2017 Götaland 61 - 80 years old 544.7 7
588 2017 Götaland 81 - 100 years old 458.4 8
48 2017 Götaland 101 - 120 years old 284.1 9
168 2017 Götaland 121 - 140 years old 149.1 10
228 2017 Götaland 141+ years old 95.6 11
652 2018 Götaland Clear-cut 203.9 1
352 2018 Götaland 3-10 years old 392.7 2
112 2018 Götaland 11 - 20 years old 513.8 3
292 2018 Götaland 21 - 30 years old 439.4 4
412 2018 Götaland 31 - 40 years old 449.7 5
472 2018 Götaland 41 - 60 years old 884.4 6
532 2018 Götaland 61 - 80 years old 545.8 7
592 2018 Götaland 81 - 100 years old 459.7 8
52 2018 Götaland 101 - 120 years old 287.4 9
172 2018 Götaland 121 - 140 years old 150.4 10
232 2018 Götaland 141+ years old 100.3 11
656 2019 Götaland Clear-cut 210.2 1
356 2019 Götaland 3-10 years old 368.1 2
116 2019 Götaland 11 - 20 years old 530.3 3
296 2019 Götaland 21 - 30 years old 457.7 4
416 2019 Götaland 31 - 40 years old 447.2 5
476 2019 Götaland 41 - 60 years old 883.1 6
536 2019 Götaland 61 - 80 years old 533.6 7
596 2019 Götaland 81 - 100 years old 460.6 8
56 2019 Götaland 101 - 120 years old 277.5 9
176 2019 Götaland 121 - 140 years old 167.0 10
236 2019 Götaland 141+ years old 107.5 11
601 2005 Norra Norrland Clear-cut 244.8 1
301 2005 Norra Norrland 3-10 years old 495.0 2
61 2005 Norra Norrland 11 - 20 years old 561.9 3
241 2005 Norra Norrland 21 - 30 years old 689.4 4
361 2005 Norra Norrland 31 - 40 years old 553.9 5
421 2005 Norra Norrland 41 - 60 years old 1,109.1 6
481 2005 Norra Norrland 61 - 80 years old 768.5 7
541 2005 Norra Norrland 81 - 100 years old 637.1 8
1 2005 Norra Norrland 101 - 120 years old 552.4 9
121 2005 Norra Norrland 121 - 140 years old 584.0 10
181 2005 Norra Norrland 141+ years old 905.1 11
605 2006 Norra Norrland Clear-cut 226.2 1
305 2006 Norra Norrland 3-10 years old 519.9 2
65 2006 Norra Norrland 11 - 20 years old 563.7 3
245 2006 Norra Norrland 21 - 30 years old 684.7 4
365 2006 Norra Norrland 31 - 40 years old 552.4 5
425 2006 Norra Norrland 41 - 60 years old 1,129.1 6
485 2006 Norra Norrland 61 - 80 years old 778.1 7
545 2006 Norra Norrland 81 - 100 years old 627.4 8
5 2006 Norra Norrland 101 - 120 years old 539.0 9
125 2006 Norra Norrland 121 - 140 years old 592.3 10
185 2006 Norra Norrland 141+ years old 875.5 11
609 2007 Norra Norrland Clear-cut 223.9 1
309 2007 Norra Norrland 3-10 years old 512.6 2
69 2007 Norra Norrland 11 - 20 years old 551.9 3
249 2007 Norra Norrland 21 - 30 years old 682.7 4
369 2007 Norra Norrland 31 - 40 years old 551.4 5
429 2007 Norra Norrland 41 - 60 years old 1,152.9 6
489 2007 Norra Norrland 61 - 80 years old 764.6 7
549 2007 Norra Norrland 81 - 100 years old 617.4 8
9 2007 Norra Norrland 101 - 120 years old 548.8 9
129 2007 Norra Norrland 121 - 140 years old 567.6 10
189 2007 Norra Norrland 141+ years old 876.9 11
613 2008 Norra Norrland Clear-cut 219.7 1
313 2008 Norra Norrland 3-10 years old 499.0 2
73 2008 Norra Norrland 11 - 20 years old 540.2 3
253 2008 Norra Norrland 21 - 30 years old 679.6 4
373 2008 Norra Norrland 31 - 40 years old 561.3 5
433 2008 Norra Norrland 41 - 60 years old 1,179.6 6
493 2008 Norra Norrland 61 - 80 years old 752.1 7
553 2008 Norra Norrland 81 - 100 years old 640.6 8
13 2008 Norra Norrland 101 - 120 years old 568.5 9
133 2008 Norra Norrland 121 - 140 years old 564.0 10
193 2008 Norra Norrland 141+ years old 922.7 11
617 2009 Norra Norrland Clear-cut 203.0 1
317 2009 Norra Norrland 3-10 years old 487.9 2
77 2009 Norra Norrland 11 - 20 years old 506.3 3
257 2009 Norra Norrland 21 - 30 years old 660.3 4
377 2009 Norra Norrland 31 - 40 years old 574.2 5
437 2009 Norra Norrland 41 - 60 years old 1,180.5 6
497 2009 Norra Norrland 61 - 80 years old 760.6 7
557 2009 Norra Norrland 81 - 100 years old 631.0 8
17 2009 Norra Norrland 101 - 120 years old 543.7 9
137 2009 Norra Norrland 121 - 140 years old 567.7 10
197 2009 Norra Norrland 141+ years old 909.8 11
621 2010 Norra Norrland Clear-cut 210.6 1
321 2010 Norra Norrland 3-10 years old 476.3 2
81 2010 Norra Norrland 11 - 20 years old 473.0 3
261 2010 Norra Norrland 21 - 30 years old 655.3 4
381 2010 Norra Norrland 31 - 40 years old 589.9 5
441 2010 Norra Norrland 41 - 60 years old 1,154.3 6
501 2010 Norra Norrland 61 - 80 years old 780.6 7
561 2010 Norra Norrland 81 - 100 years old 615.3 8
21 2010 Norra Norrland 101 - 120 years old 526.5 9
141 2010 Norra Norrland 121 - 140 years old 524.5 10
201 2010 Norra Norrland 141+ years old 946.7 11
625 2011 Norra Norrland Clear-cut 194.2 1
325 2011 Norra Norrland 3-10 years old 441.7 2
85 2011 Norra Norrland 11 - 20 years old 477.4 3
265 2011 Norra Norrland 21 - 30 years old 639.8 4
385 2011 Norra Norrland 31 - 40 years old 630.1 5
445 2011 Norra Norrland 41 - 60 years old 1,131.4 6
505 2011 Norra Norrland 61 - 80 years old 800.1 7
565 2011 Norra Norrland 81 - 100 years old 628.7 8
25 2011 Norra Norrland 101 - 120 years old 547.4 9
145 2011 Norra Norrland 121 - 140 years old 535.0 10
205 2011 Norra Norrland 141+ years old 942.9 11
629 2012 Norra Norrland Clear-cut 191.2 1
329 2012 Norra Norrland 3-10 years old 449.7 2
89 2012 Norra Norrland 11 - 20 years old 477.1 3
269 2012 Norra Norrland 21 - 30 years old 605.2 4
389 2012 Norra Norrland 31 - 40 years old 642.3 5
449 2012 Norra Norrland 41 - 60 years old 1,118.4 6
509 2012 Norra Norrland 61 - 80 years old 848.5 7
569 2012 Norra Norrland 81 - 100 years old 652.6 8
29 2012 Norra Norrland 101 - 120 years old 517.8 9
149 2012 Norra Norrland 121 - 140 years old 541.5 10
209 2012 Norra Norrland 141+ years old 980.0 11
633 2013 Norra Norrland Clear-cut 210.0 1
333 2013 Norra Norrland 3-10 years old 443.5 2
93 2013 Norra Norrland 11 - 20 years old 474.4 3
273 2013 Norra Norrland 21 - 30 years old 579.7 4
393 2013 Norra Norrland 31 - 40 years old 671.4 5
453 2013 Norra Norrland 41 - 60 years old 1,127.5 6
513 2013 Norra Norrland 61 - 80 years old 865.7 7
573 2013 Norra Norrland 81 - 100 years old 670.5 8
33 2013 Norra Norrland 101 - 120 years old 500.2 9
153 2013 Norra Norrland 121 - 140 years old 511.5 10
213 2013 Norra Norrland 141+ years old 993.9 11
637 2014 Norra Norrland Clear-cut 223.0 1
337 2014 Norra Norrland 3-10 years old 450.7 2
97 2014 Norra Norrland 11 - 20 years old 465.2 3
277 2014 Norra Norrland 21 - 30 years old 575.3 4
397 2014 Norra Norrland 31 - 40 years old 709.8 5
457 2014 Norra Norrland 41 - 60 years old 1,144.2 6
517 2014 Norra Norrland 61 - 80 years old 882.5 7
577 2014 Norra Norrland 81 - 100 years old 698.1 8
37 2014 Norra Norrland 101 - 120 years old 512.5 9
157 2014 Norra Norrland 121 - 140 years old 538.5 10
217 2014 Norra Norrland 141+ years old 991.9 11
641 2015 Norra Norrland Clear-cut 212.9 1
341 2015 Norra Norrland 3-10 years old 461.3 2
101 2015 Norra Norrland 11 - 20 years old 463.3 3
281 2015 Norra Norrland 21 - 30 years old 513.9 4
401 2015 Norra Norrland 31 - 40 years old 727.1 5
461 2015 Norra Norrland 41 - 60 years old 1,197.6 6
521 2015 Norra Norrland 61 - 80 years old 898.2 7
581 2015 Norra Norrland 81 - 100 years old 698.0 8
41 2015 Norra Norrland 101 - 120 years old 498.5 9
161 2015 Norra Norrland 121 - 140 years old 555.2 10
221 2015 Norra Norrland 141+ years old 977.1 11
645 2016 Norra Norrland Clear-cut 225.9 1
345 2016 Norra Norrland 3-10 years old 460.7 2
105 2016 Norra Norrland 11 - 20 years old 461.7 3
285 2016 Norra Norrland 21 - 30 years old 500.9 4
405 2016 Norra Norrland 31 - 40 years old 737.1 5
465 2016 Norra Norrland 41 - 60 years old 1,236.0 6
525 2016 Norra Norrland 61 - 80 years old 884.9 7
585 2016 Norra Norrland 81 - 100 years old 683.4 8
45 2016 Norra Norrland 101 - 120 years old 489.9 9
165 2016 Norra Norrland 121 - 140 years old 533.7 10
225 2016 Norra Norrland 141+ years old 999.5 11
649 2017 Norra Norrland Clear-cut 217.3 1
349 2017 Norra Norrland 3-10 years old 456.9 2
109 2017 Norra Norrland 11 - 20 years old 449.1 3
289 2017 Norra Norrland 21 - 30 years old 510.8 4
409 2017 Norra Norrland 31 - 40 years old 724.2 5
469 2017 Norra Norrland 41 - 60 years old 1,212.4 6
529 2017 Norra Norrland 61 - 80 years old 902.9 7
589 2017 Norra Norrland 81 - 100 years old 678.8 8
49 2017 Norra Norrland 101 - 120 years old 509.0 9
169 2017 Norra Norrland 121 - 140 years old 518.9 10
229 2017 Norra Norrland 141+ years old 1,032.5 11
653 2018 Norra Norrland Clear-cut 205.3 1
353 2018 Norra Norrland 3-10 years old 466.2 2
113 2018 Norra Norrland 11 - 20 years old 448.4 3
293 2018 Norra Norrland 21 - 30 years old 494.7 4
413 2018 Norra Norrland 31 - 40 years old 711.9 5
473 2018 Norra Norrland 41 - 60 years old 1,174.4 6
533 2018 Norra Norrland 61 - 80 years old 934.2 7
593 2018 Norra Norrland 81 - 100 years old 644.2 8
53 2018 Norra Norrland 101 - 120 years old 507.4 9
173 2018 Norra Norrland 121 - 140 years old 529.5 10
233 2018 Norra Norrland 141+ years old 1,029.2 11
657 2019 Norra Norrland Clear-cut 214.8 1
357 2019 Norra Norrland 3-10 years old 439.0 2
117 2019 Norra Norrland 11 - 20 years old 450.3 3
297 2019 Norra Norrland 21 - 30 years old 467.1 4
417 2019 Norra Norrland 31 - 40 years old 660.6 5
477 2019 Norra Norrland 41 - 60 years old 1,192.1 6
537 2019 Norra Norrland 61 - 80 years old 959.0 7
597 2019 Norra Norrland 81 - 100 years old 634.4 8
57 2019 Norra Norrland 101 - 120 years old 523.8 9
177 2019 Norra Norrland 121 - 140 years old 489.6 10
237 2019 Norra Norrland 141+ years old 1,031.4 11
602 2005 Svealand Clear-cut 277.1 1
302 2005 Svealand 3-10 years old 492.8 2
62 2005 Svealand 11 - 20 years old 639.3 3
242 2005 Svealand 21 - 30 years old 710.3 4
362 2005 Svealand 31 - 40 years old 666.1 5
422 2005 Svealand 41 - 60 years old 978.9 6
482 2005 Svealand 61 - 80 years old 602.6 7
542 2005 Svealand 81 - 100 years old 533.4 8
2 2005 Svealand 101 - 120 years old 420.3 9
122 2005 Svealand 121 - 140 years old 331.4 10
182 2005 Svealand 141+ years old 287.8 11
606 2006 Svealand Clear-cut 272.0 1
306 2006 Svealand 3-10 years old 486.8 2
66 2006 Svealand 11 - 20 years old 652.7 3
246 2006 Svealand 21 - 30 years old 715.6 4
366 2006 Svealand 31 - 40 years old 661.0 5
426 2006 Svealand 41 - 60 years old 1,007.4 6
486 2006 Svealand 61 - 80 years old 604.6 7
546 2006 Svealand 81 - 100 years old 527.8 8
6 2006 Svealand 101 - 120 years old 415.2 9
126 2006 Svealand 121 - 140 years old 333.9 10
186 2006 Svealand 141+ years old 286.5 11
610 2007 Svealand Clear-cut 262.3 1
310 2007 Svealand 3-10 years old 481.2 2
70 2007 Svealand 11 - 20 years old 634.8 3
250 2007 Svealand 21 - 30 years old 707.9 4
370 2007 Svealand 31 - 40 years old 681.8 5
430 2007 Svealand 41 - 60 years old 1,024.8 6
490 2007 Svealand 61 - 80 years old 605.0 7
550 2007 Svealand 81 - 100 years old 530.8 8
10 2007 Svealand 101 - 120 years old 405.8 9
130 2007 Svealand 121 - 140 years old 326.0 10
190 2007 Svealand 141+ years old 285.2 11
614 2008 Svealand Clear-cut 262.6 1
314 2008 Svealand 3-10 years old 474.8 2
74 2008 Svealand 11 - 20 years old 610.7 3
254 2008 Svealand 21 - 30 years old 731.0 4
374 2008 Svealand 31 - 40 years old 693.2 5
434 2008 Svealand 41 - 60 years old 1,049.6 6
494 2008 Svealand 61 - 80 years old 618.1 7
554 2008 Svealand 81 - 100 years old 510.6 8
14 2008 Svealand 101 - 120 years old 405.1 9
134 2008 Svealand 121 - 140 years old 310.2 10
194 2008 Svealand 141+ years old 294.2 11
618 2009 Svealand Clear-cut 257.9 1
318 2009 Svealand 3-10 years old 486.4 2
78 2009 Svealand 11 - 20 years old 619.1 3
258 2009 Svealand 21 - 30 years old 720.1 4
378 2009 Svealand 31 - 40 years old 678.6 5
438 2009 Svealand 41 - 60 years old 1,084.7 6
498 2009 Svealand 61 - 80 years old 618.4 7
558 2009 Svealand 81 - 100 years old 490.1 8
18 2009 Svealand 101 - 120 years old 402.5 9
138 2009 Svealand 121 - 140 years old 305.7 10
198 2009 Svealand 141+ years old 297.9 11
622 2010 Svealand Clear-cut 260.5 1
322 2010 Svealand 3-10 years old 503.6 2
82 2010 Svealand 11 - 20 years old 621.5 3
262 2010 Svealand 21 - 30 years old 702.7 4
382 2010 Svealand 31 - 40 years old 702.0 5
442 2010 Svealand 41 - 60 years old 1,127.0 6
502 2010 Svealand 61 - 80 years old 590.3 7
562 2010 Svealand 81 - 100 years old 496.1 8
22 2010 Svealand 101 - 120 years old 395.1 9
142 2010 Svealand 121 - 140 years old 301.1 10
202 2010 Svealand 141+ years old 302.9 11
626 2011 Svealand Clear-cut 251.1 1
326 2011 Svealand 3-10 years old 497.1 2
86 2011 Svealand 11 - 20 years old 603.7 3
266 2011 Svealand 21 - 30 years old 693.5 4
386 2011 Svealand 31 - 40 years old 731.3 5
446 2011 Svealand 41 - 60 years old 1,139.0 6
506 2011 Svealand 61 - 80 years old 573.5 7
566 2011 Svealand 81 - 100 years old 480.6 8
26 2011 Svealand 101 - 120 years old 383.5 9
146 2011 Svealand 121 - 140 years old 301.4 10
206 2011 Svealand 141+ years old 308.5 11
630 2012 Svealand Clear-cut 257.8 1
330 2012 Svealand 3-10 years old 501.9 2
90 2012 Svealand 11 - 20 years old 594.8 3
270 2012 Svealand 21 - 30 years old 670.0 4
390 2012 Svealand 31 - 40 years old 744.5 5
450 2012 Svealand 41 - 60 years old 1,159.3 6
510 2012 Svealand 61 - 80 years old 581.7 7
570 2012 Svealand 81 - 100 years old 457.0 8
30 2012 Svealand 101 - 120 years old 365.1 9
150 2012 Svealand 121 - 140 years old 302.2 10
210 2012 Svealand 141+ years old 328.9 11
634 2013 Svealand Clear-cut 264.2 1
334 2013 Svealand 3-10 years old 507.8 2
94 2013 Svealand 11 - 20 years old 587.1 3
274 2013 Svealand 21 - 30 years old 634.7 4
394 2013 Svealand 31 - 40 years old 769.5 5
454 2013 Svealand 41 - 60 years old 1,211.0 6
514 2013 Svealand 61 - 80 years old 578.9 7
574 2013 Svealand 81 - 100 years old 458.0 8
34 2013 Svealand 101 - 120 years old 350.9 9
154 2013 Svealand 121 - 140 years old 294.9 10
214 2013 Svealand 141+ years old 337.9 11
638 2014 Svealand Clear-cut 267.2 1
338 2014 Svealand 3-10 years old 499.2 2
98 2014 Svealand 11 - 20 years old 576.3 3
278 2014 Svealand 21 - 30 years old 641.5 4
398 2014 Svealand 31 - 40 years old 788.2 5
458 2014 Svealand 41 - 60 years old 1,217.2 6
518 2014 Svealand 61 - 80 years old 573.2 7
578 2014 Svealand 81 - 100 years old 452.8 8
38 2014 Svealand 101 - 120 years old 343.0 9
158 2014 Svealand 121 - 140 years old 301.5 10
218 2014 Svealand 141+ years old 357.4 11
642 2015 Svealand Clear-cut 270.8 1
342 2015 Svealand 3-10 years old 494.2 2
102 2015 Svealand 11 - 20 years old 557.4 3
282 2015 Svealand 21 - 30 years old 649.0 4
402 2015 Svealand 31 - 40 years old 746.6 5
462 2015 Svealand 41 - 60 years old 1,232.7 6
522 2015 Svealand 61 - 80 years old 594.0 7
582 2015 Svealand 81 - 100 years old 440.5 8
42 2015 Svealand 101 - 120 years old 344.2 9
162 2015 Svealand 121 - 140 years old 292.9 10
222 2015 Svealand 141+ years old 367.9 11
646 2016 Svealand Clear-cut 281.3 1
346 2016 Svealand 3-10 years old 478.9 2
106 2016 Svealand 11 - 20 years old 539.2 3
286 2016 Svealand 21 - 30 years old 657.9 4
406 2016 Svealand 31 - 40 years old 753.1 5
466 2016 Svealand 41 - 60 years old 1,272.8 6
526 2016 Svealand 61 - 80 years old 619.0 7
586 2016 Svealand 81 - 100 years old 443.5 8
46 2016 Svealand 101 - 120 years old 346.6 9
166 2016 Svealand 121 - 140 years old 296.1 10
226 2016 Svealand 141+ years old 376.8 11
650 2017 Svealand Clear-cut 289.6 1
350 2017 Svealand 3-10 years old 490.0 2
110 2017 Svealand 11 - 20 years old 543.9 3
290 2017 Svealand 21 - 30 years old 655.3 4
410 2017 Svealand 31 - 40 years old 735.6 5
470 2017 Svealand 41 - 60 years old 1,280.8 6
530 2017 Svealand 61 - 80 years old 645.1 7
590 2017 Svealand 81 - 100 years old 426.8 8
50 2017 Svealand 101 - 120 years old 331.4 9
170 2017 Svealand 121 - 140 years old 278.1 10
230 2017 Svealand 141+ years old 392.4 11
654 2018 Svealand Clear-cut 276.4 1
354 2018 Svealand 3-10 years old 500.1 2
114 2018 Svealand 11 - 20 years old 549.6 3
294 2018 Svealand 21 - 30 years old 626.4 4
414 2018 Svealand 31 - 40 years old 741.2 5
474 2018 Svealand 41 - 60 years old 1,277.2 6
534 2018 Svealand 61 - 80 years old 658.1 7
594 2018 Svealand 81 - 100 years old 423.4 8
54 2018 Svealand 101 - 120 years old 326.4 9
174 2018 Svealand 121 - 140 years old 276.4 10
234 2018 Svealand 141+ years old 399.8 11
658 2019 Svealand Clear-cut 291.5 1
358 2019 Svealand 3-10 years old 495.7 2
118 2019 Svealand 11 - 20 years old 562.5 3
298 2019 Svealand 21 - 30 years old 621.5 4
418 2019 Svealand 31 - 40 years old 736.1 5
478 2019 Svealand 41 - 60 years old 1,266.7 6
538 2019 Svealand 61 - 80 years old 677.2 7
598 2019 Svealand 81 - 100 years old 406.9 8
58 2019 Svealand 101 - 120 years old 321.1 9
178 2019 Svealand 121 - 140 years old 268.9 10
238 2019 Svealand 141+ years old 397.9 11
603 2005 Södra Norrland Clear-cut 257.3 1
303 2005 Södra Norrland 3-10 years old 524.4 2
63 2005 Södra Norrland 11 - 20 years old 652.7 3
243 2005 Södra Norrland 21 - 30 years old 672.1 4
363 2005 Södra Norrland 31 - 40 years old 585.2 5
423 2005 Södra Norrland 41 - 60 years old 726.4 6
483 2005 Södra Norrland 61 - 80 years old 434.7 7
543 2005 Södra Norrland 81 - 100 years old 508.5 8
3 2005 Södra Norrland 101 - 120 years old 586.0 9
123 2005 Södra Norrland 121 - 140 years old 502.5 10
183 2005 Södra Norrland 141+ years old 518.2 11
607 2006 Södra Norrland Clear-cut 247.7 1
307 2006 Södra Norrland 3-10 years old 506.3 2
67 2006 Södra Norrland 11 - 20 years old 645.8 3
247 2006 Södra Norrland 21 - 30 years old 692.1 4
367 2006 Södra Norrland 31 - 40 years old 597.3 5
427 2006 Södra Norrland 41 - 60 years old 744.5 6
487 2006 Södra Norrland 61 - 80 years old 400.0 7
547 2006 Södra Norrland 81 - 100 years old 487.7 8
7 2006 Södra Norrland 101 - 120 years old 568.6 9
127 2006 Södra Norrland 121 - 140 years old 494.7 10
187 2006 Södra Norrland 141+ years old 528.3 11
611 2007 Södra Norrland Clear-cut 239.9 1
311 2007 Södra Norrland 3-10 years old 485.4 2
71 2007 Södra Norrland 11 - 20 years old 638.8 3
251 2007 Södra Norrland 21 - 30 years old 685.9 4
371 2007 Södra Norrland 31 - 40 years old 601.7 5
431 2007 Södra Norrland 41 - 60 years old 776.8 6
491 2007 Södra Norrland 61 - 80 years old 390.3 7
551 2007 Södra Norrland 81 - 100 years old 460.8 8
11 2007 Södra Norrland 101 - 120 years old 560.0 9
131 2007 Södra Norrland 121 - 140 years old 498.0 10
191 2007 Södra Norrland 141+ years old 510.8 11
615 2008 Södra Norrland Clear-cut 226.2 1
315 2008 Södra Norrland 3-10 years old 468.7 2
75 2008 Södra Norrland 11 - 20 years old 596.7 3
255 2008 Södra Norrland 21 - 30 years old 679.7 4
375 2008 Södra Norrland 31 - 40 years old 592.9 5
435 2008 Södra Norrland 41 - 60 years old 804.2 6
495 2008 Södra Norrland 61 - 80 years old 383.4 7
555 2008 Södra Norrland 81 - 100 years old 432.2 8
15 2008 Södra Norrland 101 - 120 years old 513.6 9
135 2008 Södra Norrland 121 - 140 years old 468.9 10
195 2008 Södra Norrland 141+ years old 576.1 11
619 2009 Södra Norrland Clear-cut 233.9 1
319 2009 Södra Norrland 3-10 years old 461.8 2
79 2009 Södra Norrland 11 - 20 years old 578.4 3
259 2009 Södra Norrland 21 - 30 years old 683.2 4
379 2009 Södra Norrland 31 - 40 years old 595.1 5
439 2009 Södra Norrland 41 - 60 years old 834.5 6
499 2009 Södra Norrland 61 - 80 years old 403.6 7
559 2009 Södra Norrland 81 - 100 years old 418.5 8
19 2009 Södra Norrland 101 - 120 years old 478.2 9
139 2009 Södra Norrland 121 - 140 years old 457.6 10
199 2009 Södra Norrland 141+ years old 597.7 11
623 2010 Södra Norrland Clear-cut 240.0 1
323 2010 Södra Norrland 3-10 years old 463.4 2
83 2010 Södra Norrland 11 - 20 years old 583.8 3
263 2010 Södra Norrland 21 - 30 years old 673.9 4
383 2010 Södra Norrland 31 - 40 years old 611.5 5
443 2010 Södra Norrland 41 - 60 years old 884.1 6
503 2010 Södra Norrland 61 - 80 years old 392.3 7
563 2010 Södra Norrland 81 - 100 years old 430.0 8
23 2010 Södra Norrland 101 - 120 years old 459.8 9
143 2010 Södra Norrland 121 - 140 years old 447.1 10
203 2010 Södra Norrland 141+ years old 581.5 11
627 2011 Södra Norrland Clear-cut 261.0 1
327 2011 Södra Norrland 3-10 years old 462.7 2
87 2011 Södra Norrland 11 - 20 years old 562.2 3
267 2011 Södra Norrland 21 - 30 years old 673.9 4
387 2011 Södra Norrland 31 - 40 years old 623.7 5
447 2011 Södra Norrland 41 - 60 years old 905.9 6
507 2011 Södra Norrland 61 - 80 years old 401.0 7
567 2011 Södra Norrland 81 - 100 years old 433.8 8
27 2011 Södra Norrland 101 - 120 years old 436.3 9
147 2011 Södra Norrland 121 - 140 years old 455.1 10
207 2011 Södra Norrland 141+ years old 605.4 11
631 2012 Södra Norrland Clear-cut 257.0 1
331 2012 Södra Norrland 3-10 years old 475.0 2
91 2012 Södra Norrland 11 - 20 years old 548.0 3
271 2012 Södra Norrland 21 - 30 years old 679.6 4
391 2012 Södra Norrland 31 - 40 years old 627.0 5
451 2012 Södra Norrland 41 - 60 years old 963.4 6
511 2012 Södra Norrland 61 - 80 years old 413.6 7
571 2012 Södra Norrland 81 - 100 years old 449.5 8
31 2012 Södra Norrland 101 - 120 years old 417.3 9
151 2012 Södra Norrland 121 - 140 years old 424.8 10
211 2012 Södra Norrland 141+ years old 608.8 11
635 2013 Södra Norrland Clear-cut 281.9 1
335 2013 Södra Norrland 3-10 years old 466.5 2
95 2013 Södra Norrland 11 - 20 years old 561.0 3
275 2013 Södra Norrland 21 - 30 years old 674.9 4
395 2013 Södra Norrland 31 - 40 years old 676.3 5
455 2013 Södra Norrland 41 - 60 years old 997.0 6
515 2013 Södra Norrland 61 - 80 years old 424.7 7
575 2013 Södra Norrland 81 - 100 years old 449.2 8
35 2013 Södra Norrland 101 - 120 years old 424.9 9
155 2013 Södra Norrland 121 - 140 years old 423.2 10
215 2013 Södra Norrland 141+ years old 574.6 11
639 2014 Södra Norrland Clear-cut 289.4 1
339 2014 Södra Norrland 3-10 years old 476.8 2
99 2014 Södra Norrland 11 - 20 years old 552.3 3
279 2014 Södra Norrland 21 - 30 years old 657.3 4
399 2014 Södra Norrland 31 - 40 years old 683.5 5
459 2014 Södra Norrland 41 - 60 years old 993.6 6
519 2014 Södra Norrland 61 - 80 years old 422.2 7
579 2014 Södra Norrland 81 - 100 years old 434.3 8
39 2014 Södra Norrland 101 - 120 years old 420.4 9
159 2014 Södra Norrland 121 - 140 years old 429.0 10
219 2014 Södra Norrland 141+ years old 576.2 11
643 2015 Södra Norrland Clear-cut 279.0 1
343 2015 Södra Norrland 3-10 years old 464.7 2
103 2015 Södra Norrland 11 - 20 years old 527.9 3
283 2015 Södra Norrland 21 - 30 years old 653.7 4
403 2015 Södra Norrland 31 - 40 years old 669.2 5
463 2015 Södra Norrland 41 - 60 years old 1,005.6 6
523 2015 Södra Norrland 61 - 80 years old 432.4 7
583 2015 Södra Norrland 81 - 100 years old 404.0 8
43 2015 Södra Norrland 101 - 120 years old 388.6 9
163 2015 Södra Norrland 121 - 140 years old 425.5 10
223 2015 Södra Norrland 141+ years old 602.8 11
647 2016 Södra Norrland Clear-cut 267.5 1
347 2016 Södra Norrland 3-10 years old 504.1 2
107 2016 Södra Norrland 11 - 20 years old 518.7 3
287 2016 Södra Norrland 21 - 30 years old 665.8 4
407 2016 Södra Norrland 31 - 40 years old 688.5 5
467 2016 Södra Norrland 41 - 60 years old 989.5 6
527 2016 Södra Norrland 61 - 80 years old 443.3 7
587 2016 Södra Norrland 81 - 100 years old 374.2 8
47 2016 Södra Norrland 101 - 120 years old 365.8 9
167 2016 Södra Norrland 121 - 140 years old 414.6 10
227 2016 Södra Norrland 141+ years old 608.5 11
651 2017 Södra Norrland Clear-cut 265.2 1
351 2017 Södra Norrland 3-10 years old 493.3 2
111 2017 Södra Norrland 11 - 20 years old 503.7 3
291 2017 Södra Norrland 21 - 30 years old 635.6 4
411 2017 Södra Norrland 31 - 40 years old 704.5 5
471 2017 Södra Norrland 41 - 60 years old 991.3 6
531 2017 Södra Norrland 61 - 80 years old 476.0 7
591 2017 Södra Norrland 81 - 100 years old 347.5 8
51 2017 Södra Norrland 101 - 120 years old 358.9 9
171 2017 Södra Norrland 121 - 140 years old 432.9 10
231 2017 Södra Norrland 141+ years old 633.0 11
655 2018 Södra Norrland Clear-cut 265.7 1
355 2018 Södra Norrland 3-10 years old 520.0 2
115 2018 Södra Norrland 11 - 20 years old 493.9 3
295 2018 Södra Norrland 21 - 30 years old 595.8 4
415 2018 Södra Norrland 31 - 40 years old 687.7 5
475 2018 Södra Norrland 41 - 60 years old 1,001.1 6
535 2018 Södra Norrland 61 - 80 years old 510.4 7
595 2018 Södra Norrland 81 - 100 years old 345.6 8
55 2018 Södra Norrland 101 - 120 years old 338.6 9
175 2018 Södra Norrland 121 - 140 years old 439.9 10
235 2018 Södra Norrland 141+ years old 647.1 11
659 2019 Södra Norrland Clear-cut 277.8 1
359 2019 Södra Norrland 3-10 years old 521.5 2
119 2019 Södra Norrland 11 - 20 years old 493.0 3
299 2019 Södra Norrland 21 - 30 years old 597.6 4
419 2019 Södra Norrland 31 - 40 years old 703.4 5
479 2019 Södra Norrland 41 - 60 years old 1,024.7 6
539 2019 Södra Norrland 61 - 80 years old 535.3 7
599 2019 Södra Norrland 81 - 100 years old 337.8 8
59 2019 Södra Norrland 101 - 120 years old 318.3 9
179 2019 Södra Norrland 121 - 140 years old 423.3 10
239 2019 Södra Norrland 141+ years old 646.7 11

Repeat the figure below with:¶

  • compare Protected areas with non protected (all country).
  • the data needs to be in percent
  • can I do this by county/region?
In [43]:
bar_animated_pivot.head()
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_1400/3022137967.py in <module>
----> 1 bar_animated_pivot.head()

NameError: name 'bar_animated_pivot' is not defined
In [396]:
import plotly.express as px
values = list(range(10))

for i in bar_animated_pivot['Region'].unique():
    bar_animated_data= bar_animated_pivot[bar_animated_pivot['Region']==i]

    fig = px.bar(bar_animated_data, x='Age Category', y='Surface (1000 hectares)', 
#                  color='Age Category', 
                 animation_frame='Year', 
                 range_y=[0,1300],
                color="Age Category", 
#                  color_discrete_sequence=px.colors.sequential.Greens
                 color_discrete_map={'Clear-cut': 'rgb(227,239,227)', 
                                     '3-10 years old': 'rgb(200,238,200)', 
                                     '11 - 20 years old': 'rgb(180,238,180)',
                                     '21 - 30 years old': 'rgb(141,209,141)',
                                     '31 - 40 years old': 'rgb(98,188,98)',
                                     '41 - 60 years old': 'rgb(74,171,74)',
                                     '61 - 80 years old': 'rgb(47,146,47)', 
                                     '81 - 100 years old': 'rgb(29,121,29)', 
                                     '101 - 120 years old': 'rgb(17,97,17)',
                                     '121 - 140 years old': 'rgb(10,77,10)', 
                                     '141+ years old': 'rgb(3,57,3)'
                                    
                                    
                                    
                                    })
               
    fig.update_layout(
        width=800,
    height=500,
    title={
        'text': "<b>Change in Age Structure by Region (All Forest)- " + str(i),
        'y':0.95,
        'x':0.45,
        'xanchor': 'center',
        'yanchor': 'top'})
  
    
    fig.show()

Find the data about the correlation between the age of trees and no of species (what kind of species? could be a breakdown)¶

forestry intensification which affects biodiversity (insects in this case)

  • igenväxning och annan förändrad markanvändning som igenplantering, avverkning, intensifierat jordbruk, exploatering, fragmentering*, utdikning och vattenreglering, skriver Naturvårdsverket på sin webbplats.

https://www.natursidan.se/nyheter/ny-rapport-om-pollinatorer-i-sverige-manga-ar-hotade/

What constitutes a high-value forest environment? basically that it can host and provide a range of valuable species:¶

  • gamla bestånd,
  • lång skoglig kontinuitet - which means a continous forest cover in a long time, without complete deforrestation
  • bestånd med hög andel lövträd,
  • åstallskogar och
  • bestånd med kalkbarrskog.
  • density measure (overgrowth)
  • deadwood quantity (probably invers proportional cu density)

Redlisted species¶

  1. 4127 rödlistade, varav 2 131 skoglevande https://www.artdatabanken.se/globalassets/ew/subw/artd/2.-var-verksamhet/publikationer/6.tillstandet-i-skogen/rapport_tillstandet_skogen.pdf

2020 5672 redlisted, varav 3037 skoglevande

  • 2055 that have forest as essential environment, the rest may survive in similar envs out of the 2055:
  • 1888 directly influenced by logging
  • 2147-1888 - reforrestation
  • 2175 -of ditching

2022 breakdown by main category: birds, insects, etc.¶

also see Species that live in the forest , and where forest is essential

Lichens are technically mushrooms, so I took out duplicate rows that were listed both as lichens and mushrooms. Now they only appear as lichens.¶

In [421]:
redlisted_category_2022= pd.read_csv(r'graphs\redlisted by category 2022.csv')
In [422]:
redlisted_category_2022.head()
Out[422]:
Taxon id Global sorteringsordning Vetenskapligt namn Svenskt namn Kategori Observationer Landskapstyp Lives in the forest Forest is essential RedListCategory Rödlistningskriterium Category
0 2 77554 Absconditella delutula blek kryptolav Art 26 Jordbrukslandskap (J) - Har betydelse, Skog (S... Lives in the forest NaN Vulnerable D1 Lichens
1 5 100929 Acer campestre naverlönn Art 2443 Jordbrukslandskap (J) - Stor betydelse, Skog (... Lives in the forest NaN Critically Endangered D Vascular plants
2 6 97832 Aconitum napellus äkta stormhatt Art 424 Jordbrukslandskap (J) - Stor betydelse, Skog (... Lives in the forest NaN Critically Endangered D Vascular plants
3 8 97839 Actaea erythrocarpa röd trolldruva Art 771 Skog (S) - Stor betydelse Lives in the forest Forest is essential Near Threatened B2ab(ii,iii,v) Vascular plants
4 19 88498 Albatrellus cristatus grönticka Art 76 Skog (S) - Stor betydelse Lives in the forest Forest is essential Endangered D Mushrooms
In [423]:
redlisted_category_2022 = redlisted_category_2022[['Taxon id', 'Lives in the forest', 'Forest is essential', 'RedListCategory', 'Category']]
In [424]:
redlisted_category_2022.head()
Out[424]:
Taxon id Lives in the forest Forest is essential RedListCategory Category
0 2 Lives in the forest NaN Vulnerable Lichens
1 5 Lives in the forest NaN Critically Endangered Vascular plants
2 6 Lives in the forest NaN Critically Endangered Vascular plants
3 8 Lives in the forest Forest is essential Near Threatened Vascular plants
4 19 Lives in the forest Forest is essential Endangered Mushrooms
In [425]:
redlisted_category_2022_pivot= pd.pivot_table(redlisted_category_2022, index= 'Category', columns= [ 'RedListCategory'], values= 'Taxon id', aggfunc= 'count', margins= True)
In [426]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot.fillna(0)
In [427]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot.reset_index()
In [428]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot[:-1]
In [432]:
redlisted_category_2022_pivot
Out[432]:
RedListCategory Category Data Defficient Near Threatened Vulnerable Endangered Critically Endangered Regionally Extinct
1 Insects 128.0 466.0 280.0 127.0 23.0 13.0
4 Mushrooms 127.0 238.0 276.0 96.0 14.0 2.0
7 Vascular plants 173.0 125.0 182.0 168.0 39.0 3.0
2 Lichens 18.0 57.0 70.0 54.0 43.0 8.0
0 Birds 0.0 31.0 7.0 6.0 4.0 4.0
3 Mammals 0.0 10.0 4.0 4.0 1.0 1.0
5 Nonvertebrates 1.0 9.0 7.0 1.0 0.0 0.0
6 Other vertebrates 0.0 1.0 2.0 0.0 0.0 0.0
In [430]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot.sort_values(by= 'All', ascending= False)
In [431]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot[['Category','Data Defficient', 'Near Threatened',  'Vulnerable', 'Endangered', 'Critically Endangered',  'Regionally Extinct'  ]]
In [433]:
sum_category= redlisted_category_2022_pivot.groupby('Category').sum()
In [27]:
# redlisted_category_2022_pivot=redlisted_category_2022_pivot.reset_index()
In [434]:
redlisted_category_2022_pivot= pd.melt(redlisted_category_2022_pivot, id_vars= ['Category'], value_vars= redlisted_category_2022_pivot.columns[1:7], var_name= 'Redlist Category', value_name= 'Number of Species' )
In [29]:
# add a number to the bar on top
In [435]:
import numpy as np
sum_category= pd.pivot_table(redlisted_category_2022_pivot, index= 'Category', values= 'Number of Species', aggfunc= np.sum)
In [436]:
sum_category
Out[436]:
Number of Species
Category
Birds 52.0
Insects 1,037.0
Lichens 250.0
Mammals 20.0
Mushrooms 753.0
Nonvertebrates 18.0
Other vertebrates 3.0
Vascular plants 690.0
In [437]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot.merge(sum_category, on= 'Category', how= 'outer')
In [439]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot.rename(columns= {'Number of Species_x': 'Number of Species', 'Number of Species_y': 'Sum Number of Species'})
In [440]:
redlisted_category_2022_pivot.iloc[0:5, 3]=np.nan
redlisted_category_2022_pivot.iloc[6:11, 3]=np.nan
redlisted_category_2022_pivot.iloc[12:17, 3]=np.nan
redlisted_category_2022_pivot.iloc[18:23, 3]=np.nan
redlisted_category_2022_pivot.iloc[24:29, 3]=np.nan
redlisted_category_2022_pivot.iloc[30:35, 3]=np.nan
redlisted_category_2022_pivot.iloc[36:41, 3]=np.nan
redlisted_category_2022_pivot.iloc[42:47, 3]=np.nan
In [35]:
redlisted_category_2022_pivot.iloc[29, 2]=0.001
redlisted_category_2022_pivot.iloc[35, 2]=0.001
redlisted_category_2022_pivot.iloc[47, 2]=0.001
In [441]:
redlisted_category_2022_pivot
Out[441]:
Category Redlist Category Number of Species Sum Number of Species
0 Insects Data Defficient 128.0 NaN
1 Insects Near Threatened 466.0 NaN
2 Insects Vulnerable 280.0 NaN
3 Insects Endangered 127.0 NaN
4 Insects Critically Endangered 23.0 NaN
5 Insects Regionally Extinct 13.0 1,037.0
6 Mushrooms Data Defficient 127.0 NaN
7 Mushrooms Near Threatened 238.0 NaN
8 Mushrooms Vulnerable 276.0 NaN
9 Mushrooms Endangered 96.0 NaN
10 Mushrooms Critically Endangered 14.0 NaN
11 Mushrooms Regionally Extinct 2.0 753.0
12 Vascular plants Data Defficient 173.0 NaN
13 Vascular plants Near Threatened 125.0 NaN
14 Vascular plants Vulnerable 182.0 NaN
15 Vascular plants Endangered 168.0 NaN
16 Vascular plants Critically Endangered 39.0 NaN
17 Vascular plants Regionally Extinct 3.0 690.0
18 Lichens Data Defficient 18.0 NaN
19 Lichens Near Threatened 57.0 NaN
20 Lichens Vulnerable 70.0 NaN
21 Lichens Endangered 54.0 NaN
22 Lichens Critically Endangered 43.0 NaN
23 Lichens Regionally Extinct 8.0 250.0
24 Birds Data Defficient 0.0 NaN
25 Birds Near Threatened 31.0 NaN
26 Birds Vulnerable 7.0 NaN
27 Birds Endangered 6.0 NaN
28 Birds Critically Endangered 4.0 NaN
29 Birds Regionally Extinct 4.0 52.0
30 Mammals Data Defficient 0.0 NaN
31 Mammals Near Threatened 10.0 NaN
32 Mammals Vulnerable 4.0 NaN
33 Mammals Endangered 4.0 NaN
34 Mammals Critically Endangered 1.0 NaN
35 Mammals Regionally Extinct 1.0 20.0
36 Nonvertebrates Data Defficient 1.0 NaN
37 Nonvertebrates Near Threatened 9.0 NaN
38 Nonvertebrates Vulnerable 7.0 NaN
39 Nonvertebrates Endangered 1.0 NaN
40 Nonvertebrates Critically Endangered 0.0 NaN
41 Nonvertebrates Regionally Extinct 0.0 18.0
42 Other vertebrates Data Defficient 0.0 NaN
43 Other vertebrates Near Threatened 1.0 NaN
44 Other vertebrates Vulnerable 2.0 NaN
45 Other vertebrates Endangered 0.0 NaN
46 Other vertebrates Critically Endangered 0.0 NaN
47 Other vertebrates Regionally Extinct 0.0 3.0
In [238]:
redlisted_category_2022_pivot.iloc[46, 3]=np.nan
redlisted_category_2022_pivot.iloc[34, 3]=np.nan
redlisted_category_2022_pivot.iloc[28, 3]=np.nan
In [446]:
import plotly.express as px
fig = go.Figure()

fig = px.bar(redlisted_category_2022_pivot, x='Category', y='Number of Species', 
                 color='Redlist Category', 
#              text= 'Number of Species',
#              barmode= 'overlay',
             color_discrete_sequence=px.colors.sequential.Reds[3:],
#             color_discrete_map={'Data Deficient': 'rgb(220,220,220)', 
#                                      'Near Threatened': 'rgb(236,192,185)'}, 
#                                 
            range_y= [0,1200], text= 'Sum Number of Species')
   

fig.update_layout(uniformtext=dict(minsize=10, mode='show'))
fig.update_traces(textangle=0, textposition="outside", cliponaxis=False)

fig.update_layout(
        width=800,
    height=500,
    legend=dict(x=1,y=0.8),
     plot_bgcolor='rgba(0,0,0,0)',
    title={
        'text': "<b>Endangered Forest-Living Species by Status - 2022" ,
        'y':0.95,
        'x':0.45,
        'xanchor': 'center',
        'yanchor': 'top'})
fig.update_xaxes(title_font_family="Times New Roman")


fig.show()

here add a figure (pic) showing the importance of insects and mshrooms in the troffic chain¶

In [ ]:
 

Unfortunately, the situation is worse compared to the previous taxation in 2015:¶

In [288]:
redlisted_2022_2015= pd.read_csv(r'graphs\\REDLISTED\2022 versus 2015 - by main category.csv')
In [290]:
redlisted_2022_2015
Out[290]:
Category 2022 2015 Total species Percent
0 Insects 814 748.0 6594 12.3
1 Mushrooms (Lichens excluded) 916 649.0 3528 26.0
2 Lichens 207 215.0 1940 10.7
3 Plants: Vascular 623 80.0 1675 37.2
4 Mosses 74 72.0 538 13.8
5 Birds 43 32.0 147 29.3
6 Various nonvertebrates 13 14.0 103 12.6
7 Mammals 20 14.0 68 29.4
8 Other vertebrates (Reptiles) 3 NaN 8 37.5
In [292]:
redlisted_2022_2015= redlisted_2022_2015.sort_values(by= '2022', ascending= False)
In [229]:
redlisted_2022_2015.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 10 entries, 0 to 2
Data columns (total 3 columns):
 #   Column    Non-Null Count  Dtype  
---  ------    --------------  -----  
 0   Category  10 non-null     object 
 1   2022      10 non-null     int64  
 2   2015      9 non-null      float64
dtypes: float64(1), int64(1), object(1)
memory usage: 320.0+ bytes
In [232]:
redlisted_2022_2015= redlisted_2022_2015[redlisted_2022_2015['Category']!= 'All redlisted species']
In [299]:
redlisted_2022_2015
Out[299]:
Category 2022 2015 Total species Percent
1 Mushrooms (Lichens excluded) 916 649.0 3528 26.0
0 Insects 814 748.0 6594 12.3
3 Plants: Vascular 623 80.0 1675 37.2
2 Lichens 207 215.0 1940 10.7
4 Mosses 74 72.0 538 13.8
5 Birds 43 32.0 147 29.3
7 Mammals 20 14.0 68 29.4
6 Various nonvertebrates 13 14.0 103 12.6
8 Other vertebrates (Reptiles) 3 NaN 8 37.5

explain the difference between Forest living and forest-dependent¶

In [445]:
fig = go.Figure()
fig = make_subplots(specs=[[{"secondary_y": True}]])

fig.add_trace(go.Bar(marker=dict(color='rgb(218,212,220)'),
                     x=redlisted_2022_2015['Category'], 
                     y= redlisted_2022_2015['2015'], 
                     name="2015 Redlisted Species"),
             
                     secondary_y=False 
            
             )


fig.add_trace(go.Bar(marker=dict(color='rgb(162,108,165)'),
                     x=redlisted_2022_2015['Category'], 
                     y= redlisted_2022_2015['2022'], 
                     name="2022 Redlisted Species"),
             
                     secondary_y=False 
            
             )


# fig. update_traces(marker_color='rgb(182,229,159)')
fig.add_trace(go.Scatter(mode='markers', marker=dict(color='rgb(200,45, 35)', size=12, symbol= 'x'),
    x=redlisted_2022_2015['Category'], y=redlisted_2022_2015['Percent'], name="% of all Forest Species in this Category"
#                          , 
#                          line={'dash': 'dash'}
                        )
                              ,
    secondary_y=True)
# fig. update_traces(marker_color='rgb(176,224, 230)')

fig.update_yaxes(title_text="<b>Number of Redlisted Species", secondary_y=False, range= [0,1000] )
fig.update_xaxes( title_text="Category"
#                  ,  dtick= 'M60', tick0='1961'
                )
fig.update_yaxes(title_text='<b>% of all Forest Living Species', secondary_y=True, range= [0,70])

fig.update_layout(height=500, width= 1000,legend=dict(
        x=1.1,
        y=0.8), paper_bgcolor='rgba(0,0,0,0)',
    plot_bgcolor='rgba(0,0,0,0)', title= '<b>Increasing Number of Redlisted Forest Species', title_x=0.4)

fig.write_image("pics/fig4.png")
fig.show()

verifica Vascular plants, why so large compared to 2015?¶

Also check which tree plants are endangered¶

Add a second axis with a red dot showing the percent of total?¶

In [ ]:
 
In [ ]:
 

Could i make this a dumbbell chart?¶

In [273]:
redlisted_cat= pd.read_csv(r'graphs\REDLISTED\2022 versus 2015 - by main category no total.csv')
In [274]:
redlisted_cat
Out[274]:
Category Year Number of Species
0 Insects 2022 814.0
1 Mushrooms (Lichens excluded) 2022 916.0
2 Lichens 2022 207.0
3 Plants: Vascular 2022 623.0
4 Mosses 2022 74.0
5 Birds 2022 43.0
6 Various nonvertebrates 2022 13.0
7 Mammals 2022 20.0
8 Other vertebrates (Reptiles) 2022 3.0
9 Insects 2015 748.0
10 Mushrooms (Lichens excluded) 2015 649.0
11 Lichens 2015 215.0
12 Plants: Vascular 2015 80.0
13 Mosses 2015 72.0
14 Birds 2015 32.0
15 Various nonvertebrates 2015 14.0
16 Mammals 2015 14.0
17 Other vertebrates (Reptiles) 2015 NaN
In [263]:
from plotly import data
df = data.gapminder()
In [279]:
redlisted_cat.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 18 entries, 0 to 17
Data columns (total 3 columns):
 #   Column             Non-Null Count  Dtype  
---  ------             --------------  -----  
 0   Category           18 non-null     object 
 1   Year               18 non-null     int64  
 2   Number of Species  17 non-null     float64
dtypes: float64(1), int64(1), object(1)
memory usage: 560.0+ bytes
In [294]:
df = redlisted_cat


categories = redlisted_cat['Category'].unique()


data = {"x": [], "y": [], "colors": [], "years": []}

for cat in categories:
    data["x"].extend(
        [
            redlisted_cat.loc[(redlisted_cat.Year == 2015) & (redlisted_cat.Category == cat)]["Number of Species"].values[0],
            redlisted_cat.loc[(redlisted_cat.Year == 2022) & (redlisted_cat.Category == cat)]["Number of Species"].values[0],
            None,
        ]
    )
    data["y"].extend([cat, cat, None]),
    data["colors"].extend(["silver", "lightskyblue", "white"]),
    data["years"].extend(["2015", "2020", None])

fig = go.Figure(
    data=[
        go.Scatter(
            x=data["x"],
            y=data["y"],
            mode="markers+lines",
            marker=dict(
                symbol="arrow-right", color="black", size=10, 
#                 angleref="previous", 
#                 standoff=8
            ),
        ),
        go.Scatter(
            x=data["x"],
            y=data["y"],
            text=data["years"],
            mode="markers",
            marker=dict(
                color=data["colors"],
                size=16,
            ),
            hovertemplate="""Country: %{y} <br> Life Expectancy: %{x} <br> Year: %{text} <br><extra></extra>""",
        ),
    ]
)

fig.update_layout(
    title="Life Expectancy in Europe: 1952 and 2002",
    width=800,
    height=700,
    showlegend=False,
)


fig.show()

You need to redo the dumbbell chart with percents, or make a waterfall chart¶

In [282]:
redlisted_cat.loc[(redlisted_cat.Year == 2015) & (redlisted_cat.Category == 'Lichens')]
Out[282]:
Category Year Number of Species
11 Lichens 2015 215.0
In [ ]:
 
In [155]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot[redlisted_category_2022_pivot['Redlist Category']!= 'All']
In [156]:
redlisted_category_2022_pivot= redlisted_category_2022_pivot[redlisted_category_2022_pivot['Category']!= 'All']
In [44]:
redlisted_category_2022_pivot['Redlist Category'].unique()
Out[44]:
array(['Regionally Extinct', 'Critically Endangered', 'Endangered',
       'Vulnerable', 'Near Threatened', 'Data Defficient'], dtype=object)
In [158]:
redlisted_category_2022_pivot['Redlist Category']= redlisted_category_2022_pivot['Redlist Category'].str.replace('CR', 'Critically Endangered')
redlisted_category_2022_pivot['Redlist Category']= redlisted_category_2022_pivot['Redlist Category'].str.replace('DD', 'Data Deficient')
redlisted_category_2022_pivot['Redlist Category']= redlisted_category_2022_pivot['Redlist Category'].str.replace('EN', 'Endangered')
redlisted_category_2022_pivot['Redlist Category']= redlisted_category_2022_pivot['Redlist Category'].str.replace('NT', 'Near Threatened')
redlisted_category_2022_pivot['Redlist Category']= redlisted_category_2022_pivot['Redlist Category'].str.replace('RE', 'Regionally Extinct')
redlisted_category_2022_pivot['Redlist Category']= redlisted_category_2022_pivot['Redlist Category'].str.replace('VU', 'Vulnerable')
In [45]:
# format the numbers to show no decimal

redlisted_category_2022_pivot["Number of Species"]= redlisted_category_2022_pivot["Number of Species"].round().astype(int)
In [56]:
len(fig.data[0].labels)
Out[56]:
56
In [79]:
fig.data[0].labels[48:56]
Out[79]:
array(['Birds', 'Insects', 'Lichens', 'Mammals', 'Mushrooms',
       'Nonvertebrates', 'Other vertebrates', 'Vascular plants'],
      dtype=object)
In [80]:
fig.data[0].values[48:56]
Out[80]:
array([  52, 1037,  250,   20,  753,   18,    3,  690])
In [88]:
fig.data[0]
Out[88]:
Sunburst({
    'branchvalues': 'total',
    'customdata': array([['Mammals'],
                         ['Birds'],
                         ['Insects'],
                         ['Lichens'],
                         ['Mushrooms'],
                         ['Nonvertebrates'],
                         ['Birds'],
                         ['Mushrooms'],
                         ['Mammals'],
                         ['Lichens'],
                         ['Insects'],
                         ['Nonvertebrates'],
                         ['Mammals'],
                         ['Other vertebrates'],
                         ['Nonvertebrates'],
                         ['Mushrooms'],
                         ['Lichens'],
                         ['Vascular plants'],
                         ['Birds'],
                         ['Mammals'],
                         ['Lichens'],
                         ['Insects'],
                         ['Vascular plants'],
                         ['Other vertebrates'],
                         ['Other vertebrates'],
                         ['Birds'],
                         ['Vascular plants'],
                         ['Lichens'],
                         ['Mammals'],
                         ['Insects'],
                         ['Other vertebrates'],
                         ['Insects'],
                         ['Birds'],
                         ['Mushrooms'],
                         ['Nonvertebrates'],
                         ['Vascular plants'],
                         ['Lichens'],
                         ['Mammals'],
                         ['Mushrooms'],
                         ['Nonvertebrates'],
                         ['Vascular plants'],
                         ['Other vertebrates'],
                         ['Mushrooms'],
                         ['Nonvertebrates'],
                         ['Other vertebrates'],
                         ['Vascular plants'],
                         ['Insects'],
                         ['Birds'],
                         ['Birds'],
                         ['Insects'],
                         ['Lichens'],
                         ['Mammals'],
                         ['Mushrooms'],
                         ['Nonvertebrates'],
                         ['Other vertebrates'],
                         ['Vascular plants']], dtype=object),
    'domain': {'x': [0.0, 1.0], 'y': [0.0, 1.0]},
    'hovertemplate': ('labels=%{label}<br>Number of S' ... '{customdata[0]}<extra></extra>'),
    'ids': array(['Mammals/Near Threatened', 'Birds/Near Threatened',
                  'Insects/Near Threatened', 'Lichens/Near Threatened',
                  'Mushrooms/Near Threatened', 'Nonvertebrates/Near Threatened',
                  'Birds/Critically Endangered', 'Mushrooms/Critically Endangered',
                  'Mammals/Critically Endangered', 'Lichens/Critically Endangered',
                  'Insects/Critically Endangered', 'Nonvertebrates/Critically Endangered',
                  'Mammals/Endangered', 'Other vertebrates/Endangered',
                  'Nonvertebrates/Endangered', 'Mushrooms/Endangered',
                  'Lichens/Endangered', 'Vascular plants/Endangered',
                  'Birds/Regionally Extinct', 'Mammals/Regionally Extinct',
                  'Lichens/Regionally Extinct', 'Insects/Regionally Extinct',
                  'Vascular plants/Near Threatened', 'Other vertebrates/Near Threatened',
                  'Other vertebrates/Critically Endangered', 'Birds/Data Defficient',
                  'Vascular plants/Critically Endangered', 'Lichens/Data Defficient',
                  'Mammals/Data Defficient', 'Insects/Data Defficient',
                  'Other vertebrates/Regionally Extinct', 'Insects/Vulnerable',
                  'Birds/Vulnerable', 'Mushrooms/Regionally Extinct',
                  'Nonvertebrates/Regionally Extinct',
                  'Vascular plants/Regionally Extinct', 'Lichens/Vulnerable',
                  'Mammals/Vulnerable', 'Mushrooms/Vulnerable',
                  'Nonvertebrates/Vulnerable', 'Vascular plants/Vulnerable',
                  'Other vertebrates/Vulnerable', 'Mushrooms/Data Defficient',
                  'Nonvertebrates/Data Defficient', 'Other vertebrates/Data Defficient',
                  'Vascular plants/Data Defficient', 'Insects/Endangered',
                  'Birds/Endangered', 'Birds', 'Insects', 'Lichens', 'Mammals',
                  'Mushrooms', 'Nonvertebrates', 'Other vertebrates', 'Vascular plants'],
                 dtype=object),
    'labels': array(['Near Threatened', 'Near Threatened', 'Near Threatened',
                     'Near Threatened', 'Near Threatened', 'Near Threatened',
                     'Critically Endangered', 'Critically Endangered',
                     'Critically Endangered', 'Critically Endangered',
                     'Critically Endangered', 'Critically Endangered', 'Endangered',
                     'Endangered', 'Endangered', 'Endangered', 'Endangered', 'Endangered',
                     'Regionally Extinct', 'Regionally Extinct', 'Regionally Extinct',
                     'Regionally Extinct', 'Near Threatened', 'Near Threatened',
                     'Critically Endangered', 'Data Defficient', 'Critically Endangered',
                     'Data Defficient', 'Data Defficient', 'Data Defficient',
                     'Regionally Extinct', 'Vulnerable', 'Vulnerable', 'Regionally Extinct',
                     'Regionally Extinct', 'Regionally Extinct', 'Vulnerable', 'Vulnerable',
                     'Vulnerable', 'Vulnerable', 'Vulnerable', 'Vulnerable',
                     'Data Defficient', 'Data Defficient', 'Data Defficient',
                     'Data Defficient', 'Endangered', 'Endangered', 'Birds', 'Insects',
                     'Lichens', 'Mammals', 'Mushrooms', 'Nonvertebrates',
                     'Other vertebrates', 'Vascular plants'], dtype=object),
    'marker': {'colors': [rgb(103,0,31), rgb(178,24,43), rgb(214,96,77),
                          rgb(244,165,130), rgb(253,219,199), rgb(247,247,247),
                          rgb(178,24,43), rgb(253,219,199), rgb(103,0,31),
                          rgb(244,165,130), rgb(214,96,77), rgb(247,247,247),
                          rgb(103,0,31), rgb(209,229,240), rgb(247,247,247),
                          rgb(253,219,199), rgb(244,165,130), rgb(146,197,222),
                          rgb(178,24,43), rgb(103,0,31), rgb(244,165,130),
                          rgb(214,96,77), rgb(146,197,222), rgb(209,229,240),
                          rgb(209,229,240), rgb(178,24,43), rgb(146,197,222),
                          rgb(244,165,130), rgb(103,0,31), rgb(214,96,77),
                          rgb(209,229,240), rgb(214,96,77), rgb(178,24,43),
                          rgb(253,219,199), rgb(247,247,247), rgb(146,197,222),
                          rgb(244,165,130), rgb(103,0,31), rgb(253,219,199),
                          rgb(247,247,247), rgb(146,197,222), rgb(209,229,240),
                          rgb(253,219,199), rgb(247,247,247), rgb(209,229,240),
                          rgb(146,197,222), rgb(214,96,77), rgb(178,24,43),
                          rgb(178,24,43), rgb(214,96,77), rgb(244,165,130),
                          rgb(103,0,31), rgb(253,219,199), rgb(247,247,247),
                          rgb(209,229,240), rgb(146,197,222)]},
    'name': '',
    'parents': array(['Mammals', 'Birds', 'Insects', 'Lichens', 'Mushrooms', 'Nonvertebrates',
                      'Birds', 'Mushrooms', 'Mammals', 'Lichens', 'Insects', 'Nonvertebrates',
                      'Mammals', 'Other vertebrates', 'Nonvertebrates', 'Mushrooms',
                      'Lichens', 'Vascular plants', 'Birds', 'Mammals', 'Lichens', 'Insects',
                      'Vascular plants', 'Other vertebrates', 'Other vertebrates', 'Birds',
                      'Vascular plants', 'Lichens', 'Mammals', 'Insects', 'Other vertebrates',
                      'Insects', 'Birds', 'Mushrooms', 'Nonvertebrates', 'Vascular plants',
                      'Lichens', 'Mammals', 'Mushrooms', 'Nonvertebrates', 'Vascular plants',
                      'Other vertebrates', 'Mushrooms', 'Nonvertebrates', 'Other vertebrates',
                      'Vascular plants', 'Insects', 'Birds', '', '', '', '', '', '', '', ''],
                     dtype=object),
    'values': array([  10,   31,  466,   57,  238,    9,    4,   14,    1,   43,   23,    0,
                        4,    0,    1,   96,   54,  168,    4,    1,    8,   13,  125,    1,
                        0,    0,   39,   18,    0,  128,    0,  280,    7,    2,    0,    3,
                       70,    4,  276,    7,  182,    2,  127,    1,    0,  173,  127,    6,
                       52, 1037,  250,   20,  753,   18,    3,  690])
})
In [144]:
fig = px.sunburst(redlisted_category_2022_pivot, path=['Category', 'Redlist Category'], values='Number of Species', 
                  color='Category', 
#                   color_discrete_map={ 'Critically Endangered':'rgb(255, 0,0)', 
#                                       'Endangered':'rgb(249, 238, 141)', 
#                                       'Vulnerable': 'rgb(235, 249, 141)', 
#                                       'Data Deficient': 'rgb(240, 240,240)',
#                                       'Regionally Extinct': 'rgb(40,40,40)',
#                                       'Near Threatened': 'rgb(212, 218, 179)'}
                                     
                        color_discrete_sequence=px.colors.sequential.RdBu  
            
                                     
                 )


fig.update_layout(height=800, width= 950
                  ,legend=dict(x=1,y=1.01), paper_bgcolor='rgba(0,0,0,0)',
    plot_bgcolor='rgba(0,0,0,0)', title= '<b>Number of Endangered Species Living in the Forest - 2022', title_x=0.5)

fig.update_layout(uniformtext=dict(minsize=12, mode='hide'
#                                    , face= 'bold'
                                  ))


fig.data[0].labels=np.array(list(zip(fig.data[0].labels,  fig.data[0].values)))
# fig.data[0].labels[48:56]=np.array(list(zip(fig.data[0].labels[48:56],  fig.data[0].values[48:56])))
# fig.update_traces(textinfo='text', selector=dict(type='sunburst'))
# fig.update_traces(level='Mushrooms', selector=dict(type='sunburst'))

fig.add_annotation(x=1.05, y=0.49,
            text="Non-vertebrates, 18",
            showarrow=False)
fig.add_annotation(x=1.04, y=0.46,
            text="Mammals, 20",
            showarrow=False)
fig.add_annotation(x=1, y=0.4,
            text="Birds, 52",
            showarrow=False)

fig.show()
C:\Users\mihai\AppData\Roaming\Python\Python39\site-packages\plotly\express\_core.py:1637: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

C:\Users\mihai\AppData\Roaming\Python\Python39\site-packages\plotly\express\_core.py:1637: FutureWarning:

The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.

As a category, mammals are dwarfed by the other threatened categories, but if we take a look at the 20 mammals that are redlisted today in Sweden, we can notice the Brown Bear and the common Hedgehog are classified as Near Threatened, while the Lynx, is Vulnerable, the main cause being diminishing numbers due to loss of habitat. (insert reference here). Meanwhile, sweden allows the hunting of these vulnerable species (lynx and brownbear) as a side note, the cause being because they re predators who may marginally diminish their annual livestock and wild hunting quotas.¶

If the current situation is not improving, they will move down the list to even more vulnerable categories.

Do we not learn anything from the fact that the wild reindeer is already extinct in Sweden??

In [ ]:
 
In [85]:
main_labels= np.array(list(zip(fig.data[0].labels[48:56],  fig.data[0].values[48:56])))
In [87]:
main_labels[0]
Out[87]:
array(['Birds', '52'], dtype='<U17')
In [ ]:
 
In [ ]:
 

Living environment for all species (not just redlisted)¶

In [105]:
env= pd.read_csv(r'graphs\Redlisted by forest type.csv')
In [173]:
env.head()
Out[173]:
Living environment Measure Number of species
0 All Forest Total number of species living here 15092
1 All Forest Redlisted species that live here 3037
2 All Forest Redlisted species dependent on this environment 2597
3 Mixed leaf and conifers Total number of species living here 5262
4 Mixed leaf and conifers Redlisted species that live here 1529
In [145]:
import plotly.graph_objects as go
from plotly.subplots import make_subplots


fig = go.Figure()

fig = px.bar(env, x='Living environment', y='Number of species', 
                 color='Measure', barmode= 'overlay',
             color_discrete_sequence=px.colors.sequential.Hot,
#             color_discrete_map={'Data Deficient': 'rgb(220,220,220)', 
#                                      'Near Threatened': 'rgb(236,192,185)'}, 
#                                 
            range_y= [0,17000])
            

#        
fig.update_layout(
        width=1000,
    height=600,
#      plot_bgcolor='rgba(0,0,0,0)',
    title={
        'text': "<b>Redlisted Species by Living Environment" ,
        'y':0.95,
        'x':0.4,
        'xanchor': 'center',
        'yanchor': 'top'})

# fig.add_annotation(x=0, y=2000,
#             text="Natural Forest",
#             showarrow=False,
#                  font=dict(
# #             family="Courier New, monospace",
#             size=16))

fig.update_layout(xaxis_title="Environment")
    
fig.show()

*ädellövskog alm, ask, avenbok, bok, ek, fågelbär, lind och lönn. **triviallövskog asp, glasbjörk, vårtbjörk sälg, rönn och al.

When looking at the particular substrate which supports various species, we start to understand why tey are so heavily impacted by current forestry system:¶

In [ ]:
 
In [ ]:
 
In [ ]:
 
In [78]:
# take out Total number of species living there
# introduce the year? 


import plotly.graph_objects as go
from plotly.subplots import make_subplots


fig = go.Figure()

fig = px.bar(env, x='Living environment', y='Number of species', 
                 color='Measure', barmode= 'overlay',
             color_discrete_sequence=px.colors.sequential.Hot,
#             color_discrete_map={'Data Deficient': 'rgb(220,220,220)', 
#                                      'Near Threatened': 'rgb(236,192,185)'}, 
#                                 
            range_y= [0,17000])
            

#        
fig.update_layout(
        width=900,
    height=500,
#      plot_bgcolor='rgba(0,0,0,0)',
    title={
        'text': "<b>Forest Living Species - Redlisted 2022" ,
        'y':0.95,
        'x':0.4,
        'xanchor': 'center',
        'yanchor': 'top'})

# fig.add_annotation(x=0, y=2000,
#             text="Natural Forest",
#             showarrow=False,
#                  font=dict(
# #             family="Courier New, monospace",
#             size=16))

fig.update_layout(xaxis_title="Environment")
    
fig.show()
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_2632/2823793312.py in <module>
      9 fig = go.Figure()
     10 
---> 11 fig = px.bar(env, x='Living environment', y='Number of species', 
     12                  color='Measure', barmode= 'overlay',
     13              color_discrete_sequence=px.colors.sequential.Hot,

NameError: name 'env' is not defined
In [329]:
px.colors.sequential.swatches(template=None)
In [355]:
env.head()
Out[355]:
Living environment Measure Number of species
0 All Forest Total number of species living here 15092
1 All Forest Redlisted species that live here 3037
2 All Forest Redlisted species dependent on this environment 2597
3 Mixed leaf and conifers Total number of species living here 5262
4 Mixed leaf and conifers Redlisted species that live here 1529

Attempt polar chart¶

In [357]:
polar_env= pd.read_csv(r'graphs\Redlisted by forest type_polar chart.csv')
In [359]:
polar_env= polar_env.rename(columns= {'Unnamed: 0': 'Environment' })
In [ ]:
 
In [ ]:
 
In [365]:
fig = go.Figure(go.Barpolar(
    r= polar_env['Total number of species living here']/3000,
    theta=[65, 15, 210, 110, 312.5],
    width=[20,15,10,20,15],
    marker_color=['#709BFF', '#FFAA70', '#FFAA70', '#FFDF70', '#B6FFB4'],
    marker_line_color="black",
    marker_line_width=2,
    opacity=0.8
))

fig.update_layout(
    template=None,
    polar = dict(
        radialaxis = dict(range=[0, 5], showticklabels=False, ticks=''),
        angularaxis = dict(showticklabels=False, ticks='')
    )
)

fig.show()
In [ ]:
 

Living environemnt for forest dependent species - this should be a guide when deciding what areas should be protected from cutting¶

  • Breakdown of all forest species by living env and number endangered
  • comparison betwen productive and protected forest?
In [ ]:
 
In [ ]:
 
In [ ]:
 

For redlisted species that are forest-bound , the following factors have the highest negative influence:¶

In [253]:
forest_redlisted_factors= pd.read_csv(r'graphs\redlisted skogslevande negative factors.csv')

- need to add separately:¶

Taking away the dead wood, soil disturbance?

Can i find some historic data?¶

In [ ]:
 
In [254]:
forest_redlisted_factors
Out[254]:
species id Unnamed: 1 Global sorteringsordning Landskapstyp Factor for Negative Outlook RedListCategory RedListCategory EXPLAINED Rödlistningskriterium
0 8 -11.0 97839 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2ab(ii,iii,v)
1 19 -17.0 88498 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
2 36 -1.0 87088 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
3 37 -1.0 83131 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
4 38 -1.0 83142 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
5 39 -2.0 83143 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c; C2a(i)
6 41 -4.0 83188 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened D1
7 45 -1.0 86897 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
8 46 -1.0 86687 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
9 47 -1.0 86688 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
10 48 -3.0 87951 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
11 51 -2.0 94501 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Soil Acidification VU Vulnerable D1
12 53 -1.0 94523 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened A3c+4c
13 54 -3.0 94506 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened C2a(i)
14 57 -1.0 86709 Skog (S) - Stor betydelse Clear-cutting CR Critically Endangered D
15 58 -1.0 86728 Skog (S) - Stor betydelse Clear-cutting EN Endangered C1
16 59 -6.0 86716 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1; D1
17 65 -2.0 88009 Skog (S) - Stor betydelse Fire prevention VU Vulnerable A2c+3c+4c
18 67 -1.0 88451 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C1
19 68 -2.0 88452 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
20 70 -1.0 88460 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
21 71 -1.0 88033 Skog (S) - Stor betydelse Clear-cutting EN Endangered C1+2a(i)
22 72 -1.0 88035 Skog (S) - Stor betydelse Fire prevention EN Endangered C1+2a(i)
23 73 -7.0 88026 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1
24 80 -13.0 94348 Skog (S) - Stor betydelse Soil Acidification EN Endangered D
25 93 -2.0 71828 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
26 95 -1.0 71819 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered A3bc+4bc
27 96 -2.0 72376 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching NT Near Threatened B1b(ii,iii,iv,v)+2b(ii,iii,iv,v); C1; D1
28 98 -3.0 72381 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching VU Vulnerable A2bc+4bc
29 101 -11.0 71837 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification NT Near Threatened A2bc+3bc+4bc
30 112 -4.0 87716 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2c+3c+4c
31 116 -1.0 98693 Skog (S) - Stor betydelse, Urban miljö (U) - S... Pesticides VU Vulnerable B2ab(ii,iii,v)
32 117 -1.0 87828 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
33 118 -3.0 95178 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D2
34 121 -3.0 88169 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types CR Critically Endangered A2c
35 124 -1.0 76413 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable A2bc; C1; D1
36 125 -6.0 76835 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered A3bc
37 131 -1.0 76451 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
38 132 -2.0 76469 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc; D1
39 134 -1.0 76540 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A2bc+3bc+4bc
40 135 -2.0 76228 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
41 137 -1.0 71845 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification NT Near Threatened D1
42 138 -4.0 71847 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification EN Endangered D
43 142 -3.0 77464 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting DD Data Deficient NaN
44 145 -2.0 77961 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A3bc+4bc
45 147 -2.0 82125 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable D1
46 149 -1.0 89006 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
47 150 -1.0 89007 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
48 151 -1.0 86978 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C2a(i)
49 152 -2.0 87060 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C1+2a(i)
50 154 -2.0 86994 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable A2c+3c+4c
51 156 -2.0 87057 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types VU Vulnerable D1
52 158 -1.0 87067 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
53 159 -1.0 86985 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c; C2a(i)
54 160 -1.0 87058 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
55 161 -2.0 87059 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
56 163 -6.0 81755 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
57 169 -9.0 95040 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
58 178 -5.0 96007 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened B2ab(iii,v)
59 183 -1.0 93660 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
60 184 -1.0 75960 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification EN Endangered A3bc
61 185 -1.0 76051 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
62 186 -1.0 76054 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
63 187 -1.0 76061 Havsstrand (H) - Stor betydelse, Skog (S) - St... Soil Acidification CR Critically Endangered D
64 188 -23.0 76070 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types EN Endangered A2bc+4bc
65 211 -2.0 86944 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
66 213 -3.0 75230 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A2bc+3bc+4bc; D1
67 216 -4.0 75249 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching CR Critically Endangered D
68 220 -6.0 89218 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
69 226 -1.0 77183 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
70 227 -4.0 77234 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered D
71 231 -1.0 94525 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable B2ab(iii)
72 232 -1.0 94526 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable C1+2a(i)
73 233 -1.0 95666 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2b
74 234 -5.0 83414 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c
75 239 -1.0 81610 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
76 240 -1.0 81614 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
77 241 -4.0 81615 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A3c+4c; C1
78 245 -3.0 103013 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2b
79 248 -4.0 93767 Skog (S) - Stor betydelse Climate change EN Endangered D
80 252 -1.0 75188 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification EN Endangered A3bc
81 253 -22.0 87549 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened A2c+3c+4c; C2a(i)
82 275 -6.0 83214 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C2a(i)
83 281 -2.0 76766 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered C2a(i)
84 283 -6.0 76137 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
85 289 -1.0 95648 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(iii,iv,v)+2ab(iii,iv,v); C2a(i)
86 290 -1.0 95650 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii)
87 291 -2.0 94585 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened C2a(i)
88 293 -5.0 94575 Skog (S) - Stor betydelse Soil Acidification CR Critically Endangered C2a(i)
89 298 -2.0 88113 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C1+2a(i)
90 300 -3.0 88362 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
91 303 -2.0 88125 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting NT Near Threatened D1
92 305 -2.0 76077 Skog (S) - Stor betydelse Soil Acidification CR Critically Endangered D
93 307 -1.0 71971 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered A3bc+4bc
94 308 -1.0 71975 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2bc+3c+4c
95 309 -1.0 71976 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
96 310 -4.0 71978 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting NT Near Threatened A2bc+3bc+4bc
97 314 -4.0 75305 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened A2bc+3bc+4bc
98 318 -2.0 87860 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
99 320 -1.0 82883 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
100 321 -15.0 86989 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable A2c; C2a(i)
101 336 -4.0 75635 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
102 340 -5.0 101356 Skog (S) - Stor betydelse Soil Acidification EN Endangered A2abc
103 345 -4.0 96087 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2b(iii,v)
104 349 -4.0 91685 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened D1
105 353 -3.0 75532 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
106 356 -10.0 75604 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened D1
107 366 -5.0 88508 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1
108 371 -1.0 83435 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
109 372 -1.0 83410 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
110 373 -3.0 88177 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened C2a(i)
111 376 -5.0 86063 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
112 381 -4.0 86849 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened C2a(i)
113 385 -1.0 76498 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable A2bc; C1
114 386 -1.0 77305 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification CR Critically Endangered A3bc
115 387 -1.0 76476 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered A2bc+3bc+4bc; B2ab(ii,iii,iv,v); D
116 388 -1.0 76495 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
117 389 -2.0 76507 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A3bc
118 391 -1.0 76514 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered C2a(i)
119 392 -1.0 76515 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A3bc
120 393 -1.0 85639 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
121 394 -1.0 85646 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C2a(i)
122 395 -3.0 85647 Skog (S) - Stor betydelse Forest ditching VU Vulnerable C2a(i)
123 398 -11.0 94809 Skog (S) - Stor betydelse, Sötvatten (L) - Har... Climate change NT Near Threatened D1
124 409 -8.0 85936 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
125 417 -5.0 88316 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered A3ce; C2a(i)
126 422 -1.0 83482 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
127 423 -1.0 83489 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
128 424 -2.0 83503 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
129 426 -1.0 83509 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
130 427 -2.0 83510 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2c+3c+4c
131 429 -1.0 83617 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
132 430 -1.0 83562 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
133 431 -2.0 83626 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
134 433 -1.0 83567 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
135 434 -2.0 83578 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
136 436 -3.0 83584 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c; C2a(i)
137 439 -1.0 83540 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D2
138 440 -1.0 83647 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
139 441 -1.0 83615 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
140 442 -1.0 83629 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
141 443 -1.0 83451 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
142 444 -1.0 83470 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c; C2a(i)
143 445 -2.0 83640 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c
144 447 -1.0 83672 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
145 448 -1.0 83685 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
146 449 -1.0 83690 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
147 450 -1.0 83816 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
148 451 -1.0 83719 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
149 452 -2.0 83464 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
150 454 -5.0 83799 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2c+3c+4c; C2a(i)
151 459 -1.0 83499 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c; C2a(i)
152 460 -1.0 83868 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C2a(i)
153 461 -1.0 83872 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
154 462 -3.0 83876 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
155 465 -2.0 83911 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c; C2a(i)
156 467 -3.0 83916 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
157 470 -1.0 83674 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
158 471 -1.0 83531 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
159 472 -1.0 83907 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
160 473 -1.0 83761 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
161 474 -2.0 83972 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii)
162 476 -1.0 87833 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
163 477 -3.0 87545 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c
164 480 -2.0 84056 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
165 482 -1.0 86160 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
166 483 -2.0 88371 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
167 485 -7.0 93428 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification EN Endangered D
168 492 -1.0 71974 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting VU Vulnerable A2bc+4bc
169 493 -1.0 93799 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened D1
170 494 -4.0 93800 Skog (S) - Stor betydelse Soil Acidification EN Endangered D
171 498 -2.0 75225 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2bc+3bc+4bc
172 500 -2.0 75257 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
173 502 -3.0 75282 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
174 505 -1.0 82966 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
175 506 -2.0 83255 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(iii)
176 508 -2.0 82974 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
177 510 -1.0 84107 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2c+3c+4c
178 511 -1.0 84103 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1+2
179 512 -1.0 88131 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
180 513 -2.0 89591 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
181 515 -2.0 76578 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification EN Endangered A3bc
182 517 -14.0 88542 Skog (S) - Stor betydelse Forest ditching NT Near Threatened C2a(i)
183 531 -6.0 88308 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered C1+2a(i)
184 537 -1.0 93703 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
185 538 -2.0 93707 Skog (S) - Stor betydelse Climate change VU Vulnerable D1
186 540 -3.0 93736 Skog (S) - Stor betydelse Soil Acidification EN Endangered C2a(i)
187 543 -3.0 94091 Skog (S) - Stor betydelse Climate change CR Critically Endangered D
188 546 -1.0 94103 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching EN Endangered D
189 547 -4.0 94104 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching VU Vulnerable D1
190 551 -1.0 77405 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
191 552 -4.0 94998 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A2abc; B2ab(i,ii,iii,v)
192 556 -4.0 79855 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered D
193 560 -10.0 93731 Skog (S) - Stor betydelse Soil Acidification RE Regionally Extinct NaN
194 570 -1.0 74690 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
195 571 -1.0 74691 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii); C2a(i)
196 572 -1.0 74698 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened C2a(i)
197 573 -1.0 74699 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered C2a(i)
198 574 -1.0 74707 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii); C2a(i)
199 575 -11.0 88624 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
200 586 -1.0 71926 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
201 587 -20.0 71927 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
202 607 -4.0 84870 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2b(iii); D1
203 611 -8.0 85027 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
204 619 -1.0 95719 Skog (S) - Stor betydelse, Havsstrand (H) - Ha... Climate change EN Endangered C1+2a(i)
205 620 -2.0 95731 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2b; C2a(i)
206 622 -11.0 76547 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting RE Regionally Extinct NaN
207 633 -1.0 93355 Skog (S) - Stor betydelse Soil Acidification EN Endangered D
208 634 -2.0 93370 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D1
209 636 -1.0 93373 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D1
210 637 -1.0 76101 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Soil Acidification VU Vulnerable A2bc+4bc
211 638 -1.0 76103 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification RE Regionally Extinct NaN
212 639 -3.0 76107 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable A2bc+4bc
213 642 -1.0 89238 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
214 643 -3.0 96142 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,v)
215 646 -3.0 87871 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
216 649 -6.0 79954 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered D
217 655 -3.0 86663 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2c
218 658 -4.0 88047 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
219 662 -1.0 94603 Skog (S) - Stor betydelse, Sötvatten (L) - Har... Soil Acidification VU Vulnerable D1
220 663 -8.0 94607 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Soil Acidification EN Endangered D
221 671 -3.0 102752 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,v)
222 674 -1.0 102770 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2ab(iii,v)
223 675 -1.0 88322 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered C2a(i)
224 676 -2.0 88323 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered D
225 678 -6.0 87281 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
226 684 -5.0 87236 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
227 689 -17.0 80143 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(iii); C2a(i)
228 706 -1.0 100641 Skog (S) - Stor betydelse, Urban miljö (U) - H... Fire prevention NT Near Threatened B2ab(v)
229 707 -6.0 100654 Skog (S) - Stor betydelse, Urban miljö (U) - H... Fire prevention NT Near Threatened B2ab(iii)
230 713 -1.0 88967 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
231 714 -1.0 87710 Skog (S) - Stor betydelse Fire prevention VU Vulnerable A2c+3c+4c; C1+2a(i)
232 715 -2.0 88136 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
233 717 -1.0 88525 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable C2a(i)
234 718 -2.0 96279 Skog (S) - Stor betydelse Forest ditching VU Vulnerable B2ab(ii,iii,v)
235 720 -1.0 87283 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
236 721 -12.0 88059 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C1
237 733 -1.0 77454 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered A3bc+4bc; D
238 734 -1.0 77459 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A3bc+4bc
239 735 -2.0 77461 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting VU Vulnerable D1
240 737 -7.0 77472 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A3bc+4bc
241 744 -6.0 95101 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2b; B2b(iii,v)
242 750 -1.0 79864 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting VU Vulnerable D1
243 751 -6.0 87125 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C1+2a(i)
244 757 -3.0 88454 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
245 760 -1.0 88326 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable A2c
246 761 -4.0 94615 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification EN Endangered B2ab(ii,iii,iv,v); C2a(i)
247 765 -1.0 79909 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
248 766 -1.0 79934 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened D1
249 767 -2.0 79910 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
250 769 -2.0 88546 Skog (S) - Stor betydelse Clear-cutting CR Critically Endangered C2a(i)
251 771 -1.0 93594 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification NT Near Threatened C2a(i)
252 772 -4.0 75271 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable A2bc+4bc; D1
253 776 -5.0 98755 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B1ab(iii,v)+2ab(iii,v)
254 781 -1.0 93275 Skog (S) - Stor betydelse Soil Acidification EN Endangered D
255 782 -1.0 93219 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification NT Near Threatened B2ab(iii,v)
256 783 -3.0 96309 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,v)
257 786 -1.0 89011 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
258 787 -1.0 89013 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
259 788 -1.0 89023 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
260 789 -1.0 89034 Skog (S) - Stor betydelse Clear-cutting EN Endangered A2c+3c+4c
261 790 -1.0 80010 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
262 791 -1.0 79868 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
263 792 -20.0 85420 Skog (S) - Stor betydelse Forest ditching NT Near Threatened D1
264 812 -1.0 93333 Skog (S) - Stor betydelse, Sötvatten (L) - Har... Soil Acidification NT Near Threatened D1
265 813 -3.0 93314 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest ditching VU Vulnerable D1
266 816 -1.0 84431 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
267 817 -1.0 84349 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
268 818 -2.0 84352 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
269 820 -1.0 84354 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
270 821 -1.0 84736 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c; C2a(i)
271 822 -1.0 84378 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
272 823 -1.0 84385 Skog (S) - Stor betydelse Forest ditching EN Endangered C2a(i)
273 824 -1.0 84417 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
274 825 -1.0 84438 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened D1
275 826 -1.0 84440 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification NT Near Threatened C2a(i)
276 827 -2.0 84432 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
277 829 -1.0 84468 Skog (S) - Stor betydelse Forest ditching EN Endangered A2c; C2a(i)
278 830 -1.0 84482 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C1+2a(i)
279 831 -3.0 84494 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
280 834 -3.0 84711 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
281 837 -2.0 100573 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B1ab(i,ii)+2ab(i,ii)
282 839 -1.0 88448 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
283 840 -1.0 88064 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching DD Data Deficient NaN
284 841 -1.0 87838 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
285 842 -1.0 87912 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1+2
286 843 -1.0 88074 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
287 844 -1.0 88076 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching NT Near Threatened D1
288 845 -1.0 88081 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
289 846 -1.0 87874 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable D1
290 847 -1.0 87884 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types DD Data Deficient NaN
291 848 -2.0 87737 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable D1
292 850 -1.0 87724 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable D1
293 851 -3.0 87899 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching NT Near Threatened D1
294 854 -5.0 86912 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
295 859 -1.0 88969 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
296 860 -1.0 88469 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
297 861 -1.0 84093 Skog (S) - Stor betydelse Forest ditching NT Near Threatened C2a(i)
298 862 -1.0 89052 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
299 863 -1.0 76134 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage VU Vulnerable D1
300 864 -7.0 76135 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
301 871 -1.0 82196 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A3c; D1
302 872 -4.0 103528 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types CR Critically Endangered D
303 876 -5.0 84994 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
304 881 -1.0 87758 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable C2a(i)
305 882 -1.0 87793 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
306 883 -1.0 87753 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
307 884 -1.0 87759 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable A3ce; C1
308 885 -4.0 87756 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
309 889 -8.0 86749 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
310 897 -1.0 94695 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
311 898 -2.0 88425 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1
312 900 -6.0 87351 Skog (S) - Stor betydelse Forest ditching NT Near Threatened C1
313 906 -1.0 94829 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable B2ab(i,iii,v); D1
314 907 -1.0 88606 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
315 908 -10.0 88676 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
316 918 -6.0 88530 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Clear-cutting VU Vulnerable C1
317 924 -1.0 75756 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
318 925 -1.0 75764 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A2bc+3bc+4c; C2a(i)
319 926 -2.0 75796 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage DD Data Deficient NaN
320 928 -8.0 87009 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
321 936 -1.0 87354 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
322 937 -3.0 87356 Skog (S) - Stor betydelse Forest ditching NT Near Threatened C2a(i); D1
323 940 -4.0 88335 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching EN Endangered D
324 944 -2.0 82999 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii); C2a(i)
325 946 -1.0 83030 Skog (S) - Stor betydelse Forest ditching EN Endangered C2a(i)
326 947 -1.0 83032 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
327 948 -1.0 83001 Skog (S) - Stor betydelse Forest ditching EN Endangered C2a(i)
328 949 -1.0 83038 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
329 950 -1.0 83055 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i); D1
330 951 -2.0 83067 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
331 953 -3.0 86701 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
332 956 -6.0 76541 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching EN Endangered A3bc
333 962 -4.0 76544 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching EN Endangered A2bc
334 966 -1.0 93530 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Soil Acidification NT Near Threatened D1
335 967 -3.0 76152 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
336 970 -2.0 86272 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
337 972 -1.0 86843 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C2a(i)
338 973 -1.0 86812 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable C2a(i)
339 974 -5.0 86267 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
340 979 -4.0 86168 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
341 983 -1.0 76639 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered A3bc
342 984 -2.0 76640 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage CR Critically Endangered A2bc
343 986 -4.0 76645 Skog (S) - Stor betydelse Clear-cutting EN Endangered A2bc+4bc
344 990 -10.0 94743 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable C1+2a(i)
345 1000 -9.0 101451 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2a
346 1009 -3.0 85258 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
347 1012 -6.0 102541 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2a
348 1018 -8.0 77894 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
349 1026 -1.0 76762 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered A3bc+4bc
350 1027 -5.0 76770 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable D1
351 1032 -1.0 87098 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
352 1033 -1.0 86775 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable D1
353 1034 -2.0 83101 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
354 1036 -4.0 76170 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable A2bc+3bc+4bc
355 1040 -2.0 94351 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened D1
356 1042 -5.0 76267 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable D1
357 1047 -2.0 76318 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
358 1049 -13.0 82557 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2bc+3c+4c
359 1062 -5.0 102070 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B1ab(iii)+2ab(iii)
360 1067 -3.0 87572 Skog (S) - Stor betydelse Forest ditching VU Vulnerable C1
361 1070 -4.0 85531 Skog (S) - Stor betydelse Forest ditching VU Vulnerable C2a(i)
362 1074 -4.0 93552 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Water systems damage NT Near Threatened D1
363 1078 -1.0 93557 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened B2a; D1
364 1079 -2.0 93561 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable C2a(i)
365 1081 -2.0 82481 Skog (S) - Stor betydelse Forest ditching NT Near Threatened C1
366 1083 -13.0 76683 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable A3bc
367 1096 -4.0 87033 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
368 1100 -1.0 87973 Skog (S) - Stor betydelse Forest ditching VU Vulnerable C1
369 1101 -1.0 87977 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1
370 1102 -3.0 88324 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
371 1105 -1.0 88476 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C1
372 1106 -2.0 88302 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1
373 1108 -2.0 87766 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
374 1110 -4.0 87768 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
375 1114 -1.0 71876 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification NT Near Threatened A2bc+3bc+4bc
376 1115 -1.0 71877 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered C2a(i); D
377 1116 -2.0 71872 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
378 1118 -4.0 71916 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
379 1122 -7.0 95791 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C1
380 1129 -3.0 103914 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii,iv,v)
381 1132 -1.0 93132 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification NT Near Threatened C2a(i)
382 1133 -4.0 93134 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
383 1137 -1.0 93153 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification RE Regionally Extinct NaN
384 1138 -1.0 93167 Skog (S) - Stor betydelse, Jordbrukslandskap (... Climate change EN Endangered D
385 1139 -98,928.0 93168 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened D1
386 100067 NaN 55875 Brackvatten (B) - Stor betydelse, Havsstrand (... Clear-cutting NT Near Threatened D1
387 1139 -4.0 93168 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification NT Near Threatened D1
388 1143 -1.0 88327 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened C2a(i)
389 1144 -2.0 77453 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2bc+3bc+4bc
390 1146 -2.0 80028 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
391 1148 -1.0 80030 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
392 1149 -1.0 94375 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types CR Critically Endangered D
393 1150 -1.0 76550 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting EN Endangered D
394 1151 -1.0 76551 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc; B2b(ii,iii,iv,v)
395 1152 -1.0 76564 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types EN Endangered A3bc
396 1153 -1.0 76556 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
397 1154 -17.0 76567 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered A2bc+4bc; C1+2a(i); D
398 1171 -6.0 76570 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage CR Critically Endangered D
399 1177 -2.0 88340 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C2a(i)
400 1179 -3.0 88341 Skog (S) - Stor betydelse Forest ditching VU Vulnerable C1
401 1182 -1.0 77814 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D1
402 1183 -7.0 77750 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered D
403 1190 -12.0 80096 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
404 1202 -2.0 87770 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
405 1204 -2.0 87785 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
406 1206 -2.0 89060 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
407 1208 -1.0 88198 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
408 1209 -2.0 88199 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+4c
409 1211 -2.0 88202 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
410 1213 -1.0 88208 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
411 1214 -3.0 88212 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
412 1217 -1.0 88217 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable D1
413 1218 -7.0 88236 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
414 1225 -2.0 86199 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened D1
415 1227 -2.0 86392 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
416 1229 -3.0 87042 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered C2a(i)
417 1232 -3.0 75321 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification VU Vulnerable D1
418 1235 -3.0 87918 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
419 1238 -1.0 75463 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types EN Endangered D
420 1239 -1.0 75464 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Forest overgrowth on other land types EN Endangered D
421 1240 -2.0 88084 Skog (S) - Stor betydelse Forest ditching EN Endangered D
422 1242 -2.0 107543 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(iii,v)
423 1244 -5.0 88019 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered A2c+3c+4c; C2a(i)
424 1249 -4.0 76241 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable A2bc+3bc+4bc; C2a(i)
425 1253 -1.0 107550 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(iii,v)+2ab(iii,v)
426 1254 -2.0 85790 Skog (S) - Stor betydelse Forest ditching EN Endangered C2a(i)
427 1256 -2.0 96495 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching NT Near Threatened B2ab(iii,v)
428 1258 -7.0 77005 Skog (S) - Stor betydelse Forest ditching CR Critically Endangered D
429 1265 -1.0 88346 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting NT Near Threatened D1
430 1266 -1.0 88348 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types NT Near Threatened D1
431 1267 -1.0 88298 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
432 1268 -1.0 95173 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
433 1269 -1.0 95177 Skog (S) - Stor betydelse Forest ditching CR Critically Endangered D
434 1270 -2.0 92871 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
435 1272 -1.0 94854 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D1
436 1273 -1.0 77527 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting CR Critically Endangered D
437 1274 -1.0 77531 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
438 1275 -2.0 77533 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types RE Regionally Extinct NaN
439 1277 -17.0 87048 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened C2a(i)
440 1294 -6.0 101542 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D2
441 1300 -1.0 87446 Skog (S) - Stor betydelse Forest ditching VU Vulnerable C1
442 1301 -11.0 87458 Skog (S) - Stor betydelse Forest ditching NT Near Threatened D1
443 1312 -12.0 79472 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching NT Near Threatened A2c+3c+4c
444 1324 -3.0 93549 Skog (S) - Stor betydelse Soil Acidification EN Endangered C2a(i)
445 1327 -1.0 93922 Skog (S) - Stor betydelse Soil Acidification RE Regionally Extinct NaN
446 1328 -3.0 79971 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2b(iii)
447 1331 -1.0 102991 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types VU Vulnerable C1
448 1332 -1.0 97966 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii,v)
449 1333 -1.0 97970 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D2
450 1334 -1.0 86960 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
451 1335 -3.0 86975 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting DD Data Deficient NaN
452 1338 -3.0 88377 Skog (S) - Stor betydelse Forest ditching CR Critically Endangered C2a(i)
453 1341 -1.0 74232 Skog (S) - Stor betydelse Forest overgrowth on other land types RE Regionally Extinct NaN
454 1342 -1.0 74234 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2bc+3bc+4bc
455 1343 -2.0 74235 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered A2bc+3bc+4bc; D
456 1345 -2.0 87564 Skog (S) - Stor betydelse Clear-cutting CR Critically Endangered D
457 1347 -4.0 87947 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
458 1351 -1.0 76826 Skog (S) - Stor betydelse, Havsstrand (H) - Ha... Clear-cutting VU Vulnerable A2bc+3bc+4bc; D1
459 1352 -1.0 76835 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
460 1353 -1.0 76844 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching EN Endangered A2bc+3bc+4bc
461 1354 -1.0 87300 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
462 1355 -2.0 87318 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D1
463 1357 -1.0 87334 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
464 1358 -1.0 83429 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
465 1359 -10.0 83432 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
466 1369 -1.0 87583 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
467 1370 -1.0 87585 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching DD Data Deficient NaN
468 1371 -1.0 87587 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
469 1372 -5.0 87588 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
470 1377 -13.0 85739 Skog (S) - Stor betydelse Forest ditching CR Critically Endangered D
471 1390 -6.0 75350 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage CR Critically Endangered D
472 1396 -16.0 98441 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable D2
473 1412 -10.0 99727 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered D
474 1422 -2.0 88812 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification VU Vulnerable C2a(i)
475 1424 -11.0 88825 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification VU Vulnerable D1
476 1435 -1.0 89017 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C2a(i)
477 1436 -2.0 89019 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(iii); C2a(i)
478 1438 -1.0 89022 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered C2a(i)
479 1439 -1.0 89033 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
480 1440 -1.0 89045 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
481 1441 -4.0 88216 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting CR Critically Endangered D
482 1445 -1.0 80272 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
483 1446 -6.0 80110 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
484 1452 -2.0 94919 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification EN Endangered C2a(i)
485 1454 -1.0 94945 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D1
486 1455 -4.0 94928 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification EN Endangered C2a(i)
487 1459 -1.0 71942 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
488 1460 -1.0 71943 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
489 1461 -5.0 71944 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
490 1466 -8.0 87137 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
491 1474 -1.0 88579 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
492 1475 -4.0 88974 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
493 1479 -1.0 93970 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching NT Near Threatened D1
494 1480 -3.0 93972 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching EN Endangered D
495 1483 -14.0 93978 Skog (S) - Stor betydelse Forest ditching EN Endangered D
496 1497 -6.0 87595 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1; D1
497 1503 -2.0 87921 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
498 1505 -1.0 88118 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable A2c+3c+4c; C1
499 1506 -2.0 88110 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
500 1508 -8.0 99905 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered D
501 1516 -1.0 75328 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A2bc+4bc
502 1517 -1.0 93176 Skog (S) - Stor betydelse Forest ditching NT Near Threatened D1
503 1518 -1.0 88486 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting RE Regionally Extinct NaN
504 1519 -5.0 88487 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened C2a(i)
505 1524 -2.0 103553 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(i,ii,iii,v)+2ab(i,ii,iii,v)
506 1526 -1.0 88428 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
507 1527 -3.0 88434 Skog (S) - Stor betydelse Clear-cutting EN Endangered A3ce
508 1530 -1.0 80382 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
509 1531 -2.0 76931 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage CR Critically Endangered D
510 1533 -6.0 76945 Havsstrand (H) - Stor betydelse, Skog (S) - St... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v); D
511 1539 -3.0 73835 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A4bc; D1
512 1542 -1.0 86218 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
513 1543 -1.0 87925 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
514 1544 -6.0 87503 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
515 1550 -2.0 93186 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest ditching NT Near Threatened B2ab(iii,v); D1
516 1552 -3.0 92826 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable B2ab(iii,v); C2a(i)
517 1555 -2.0 77630 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable D1
518 1557 -1.0 77632 Skog (S) - Stor betydelse, Havsstrand (H) - Ha... Clear-cutting VU Vulnerable A2bc+3bc+4bc; D1
519 1558 -5.0 77443 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types VU Vulnerable A3bc
520 1563 -5.0 101071 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting CR Critically Endangered D
521 1568 -1.0 76887 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification CR Critically Endangered D
522 1569 -3.0 75853 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types CR Critically Endangered D
523 1572 -5.0 94028 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest replanting EN Endangered C2a(i)
524 1577 -1.0 88359 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
525 1578 -3.0 88317 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting CR Critically Endangered D
526 1581 -2.0 77370 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
527 1583 -3.0 89154 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
528 1586 -2.0 89187 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
529 1588 -5.0 87933 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A2c+3c+4c
530 1593 -1.0 86316 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C2a(i)
531 1594 -2.0 86326 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable A2c+3c+4c; C2a(i)
532 1596 -1.0 86353 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable A2c+3c+4c
533 1597 -1.0 86419 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
534 1598 -1.0 86377 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D1
535 1599 -2.0 86418 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
536 1601 -2.0 86450 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C2a(i)
537 1603 -3.0 98972 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered A2ab; B1ab(iii,iv,v)+2ab(iii,iv,v); C1
538 1606 -2.0 94769 Skog (S) - Stor betydelse Soil Acidification EN Endangered C2a(i)
539 1608 -10.0 80280 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
540 1618 -1.0 87971 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1
541 1619 -4.0 88171 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest replanting NT Near Threatened C2a(i)
542 1623 -4.0 88119 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
543 1627 -1.0 88416 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
544 1628 -1.0 99003 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest ditching CR Critically Endangered A3be
545 1629 -4.0 93127 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D1
546 1633 -3.0 80274 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered C2a(i)
547 1636 -1.0 76333 Skog (S) - Stor betydelse Soil Acidification RE Regionally Extinct NaN
548 1637 -4.0 76364 Skog (S) - Stor betydelse Forest ditching EN Endangered A2bc+4bc
549 1641 -1.0 76356 Skog (S) - Stor betydelse Water systems damage CR Critically Endangered D
550 1642 -12.0 76392 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2bc+3bc+4bc
551 1654 -4.0 103400 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened A2b; B2ab(ii,iii,v)
552 1658 -1.0 99043 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types EN Endangered A2ab
553 1659 -6.0 99092 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,v)
554 1665 -1.0 100432 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2ab(iii,v)
555 1666 -3.0 100441 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened A2b; B2ab(ii,iii)
556 1669 -1.0 85813 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
557 1670 -6.0 85823 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting NT Near Threatened D1
558 1676 -4.0 88931 Skog (S) - Stor betydelse Forest ditching NT Near Threatened D1
559 1680 -86.0 85745 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
560 1766 -1.0 74258 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
561 1767 -1.0 71850 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types CR Critically Endangered B1ab(i,ii,iii,iv,v); D
562 1768 -1.0 72342 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
563 1769 -1.0 71853 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered A3bc
564 1770 -6.0 73228 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered D
565 1776 -2.0 71843 Skog (S) - Stor betydelse Climate change VU Vulnerable D1
566 1778 -8.0 76623 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting VU Vulnerable A2bc+4bc
567 1786 -7.0 76211 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types CR Critically Endangered D
568 1793 -1.0 74239 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered D
569 1794 -3.0 74818 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
570 1797 -5.0 76688 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened A2bc+3bc+4bc
571 1802 -2.0 72827 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting CR Critically Endangered D
572 1804 -2.0 76763 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered A2bc+3bc+4bc
573 1806 -3.0 76769 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
574 1809 -4.0 75810 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered D
575 1813 -3.0 76081 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types CR Critically Endangered D
576 1816 -4.0 76297 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting VU Vulnerable A2bc+3bc+4bc
577 1820 -4.0 71870 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered A3bc
578 1824 -1.0 77520 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
579 1825 -1.0 77871 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4b
580 1826 -1.0 74236 Skog (S) - Stor betydelse Clear-cutting CR Critically Endangered D
581 1827 -3.0 77483 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
582 1830 -4.0 75381 Skog (S) - Stor betydelse Soil Acidification RE Regionally Extinct NaN
583 1834 -4.0 77371 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting CR Critically Endangered D
584 1838 -3.0 94830 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Climate change VU Vulnerable D1
585 1841 -1.0 94761 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened A3c+4c
586 1842 -3.0 94731 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest ditching NT Near Threatened D1
587 1845 -3.0 94907 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification EN Endangered C2a(i)
588 1848 -2.0 99138 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest overgrowth on other land types NT Near Threatened B2a
589 1850 -3.0 95929 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,v)+2ab(ii,iii,v)
590 1853 -13.0 97948 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered A2ac
591 1866 -23.0 95513 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,v)
592 1889 -39.0 102918 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2a
593 1928 -29.0 99731 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting EN Endangered D
594 1957 -1.0 86178 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
595 1958 -1.0 88500 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
596 1959 -1.0 80227 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
597 1960 -2.0 88829 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
598 1962 -1.0 86732 Skog (S) - Stor betydelse Fire prevention NT Near Threatened A2c+3c+4c; C1
599 1963 -1.0 88012 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching NT Near Threatened C2a(i)
600 1964 -1.0 88025 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
601 1965 -3.0 88387 Skog (S) - Stor betydelse Forest ditching CR Critically Endangered C2a(i)
602 1968 -1.0 89003 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
603 1969 -1.0 82129 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
604 1970 -1.0 82130 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
605 1971 -2.0 81691 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting NT Near Threatened C1
606 1973 -2.0 88051 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
607 1975 -1.0 88509 Skog (S) - Stor betydelse Clear-cutting CR Critically Endangered C2a(i)
608 1976 -1.0 87719 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
609 1977 -1.0 83472 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
610 1978 -1.0 83496 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
611 1979 -1.0 83595 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
612 1980 -2.0 83636 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
613 1982 -2.0 83692 Skog (S) - Stor betydelse Forest ditching VU Vulnerable C2a(i)
614 1984 -1.0 83693 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
615 1985 -2.0 83481 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable A2c; C2a(i)
616 1987 -2.0 83810 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
617 1989 -1.0 83780 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
618 1990 -1.0 83870 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
619 1991 -1.0 83885 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered C2a(i)
620 1992 -1.0 83891 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
621 1993 -1.0 83921 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
622 1994 -1.0 83931 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
623 1995 -1.0 83939 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
624 1996 -1.0 83962 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
625 1997 -1.0 83975 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
626 1998 -2.0 82977 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
627 2000 -2.0 74709 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
628 2002 -5.0 84924 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
629 2007 -1.0 87561 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened D1
630 2008 -4.0 87244 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
631 2012 -1.0 80148 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
632 2013 -1.0 87701 Skog (S) - Stor betydelse Fire prevention EN Endangered C2a(i)
633 2014 -1.0 88544 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
634 2015 -4.0 87553 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
635 2019 -1.0 84498 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened D1
636 2020 -1.0 81164 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
637 2021 -1.0 84992 Skog (S) - Stor betydelse Forest ditching EN Endangered D
638 2022 -1.0 85250 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
639 2023 -2.0 88149 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
640 2025 -3.0 88427 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
641 2028 -1.0 88627 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification NT Near Threatened D1
642 2029 -1.0 88634 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened C2a(i)
643 2030 -1.0 83029 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
644 2031 -1.0 83040 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types VU Vulnerable D1
645 2032 -1.0 83004 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable D1
646 2033 -1.0 83020 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
647 2034 -1.0 83085 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
648 2035 -1.0 85224 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
649 2036 -3.0 87094 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types NT Near Threatened C2a(i)
650 2039 -1.0 87967 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
651 2040 -1.0 88013 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
652 2041 -1.0 88316 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
653 2042 -3.0 88342 Skog (S) - Stor betydelse Forest ditching EN Endangered D
654 2045 -1.0 85761 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
655 2046 -1.0 88312 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
656 2047 -2.0 87394 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
657 2049 -2.0 87339 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
658 2051 -3.0 87288 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
659 2054 -1.0 88716 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened D1
660 2055 -1.0 88848 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c
661 2056 -1.0 88890 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened D1
662 2057 -1.0 88912 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened C2a(i)
663 2058 -1.0 89032 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c
664 2059 -1.0 89041 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
665 2060 -2.0 87134 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
666 2062 -1.0 88097 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1
667 2063 -1.0 88099 Skog (S) - Stor betydelse Forest ditching VU Vulnerable C1
668 2064 -1.0 88104 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1
669 2065 -2.0 88101 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
670 2067 -3.0 80226 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
671 2070 -1.0 86863 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
672 2071 -1.0 86342 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable C2a(i)
673 2072 -2.0 86415 Skog (S) - Stor betydelse Soil Acidification EN Endangered C2a(i)
674 2074 -1.0 82866 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
675 2075 -4.0 88908 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c
676 2079 -1.0 89201 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
677 2080 -1.0 76458 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification NT Near Threatened A2bc+3bc+4bc
678 2081 -324.0 76644 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting NT Near Threatened A2bc+3bc+4bc
679 2405 -178.0 94676 Skog (S) - Stor betydelse Soil Acidification EN Endangered B2ab(iii,v)
680 2583 -169.0 94584 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable B2ab(ii,iii)
681 2752 -7.0 93294 Skog (S) - Stor betydelse, Jordbrukslandskap (... Climate change NT Near Threatened B2ab(iii,v); C2a(i)
682 2759 -168.0 93256 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Climate change NT Near Threatened A3c; B2ab(iii,v); C2a(i)
683 2927 -45.0 82908 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2b(iii); C2a(i)
684 2972 -3.0 83137 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
685 2975 -34.0 83158 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C2a(i)
686 3009 -5.0 88042 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
687 3014 -65.0 88399 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1; D1
688 3079 -7.0 86892 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1
689 3086 -12.0 87397 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A3ce
690 3098 -2.0 86540 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
691 3100 -92.0 89004 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
692 3192 -1.0 85336 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
693 3193 -1.0 85341 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
694 3194 -15.0 85347 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
695 3209 -29.0 88442 Skog (S) - Stor betydelse Forest ditching NT Near Threatened D1
696 3238 -4.0 88174 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
697 3242 -35.0 87695 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c; B2b(iii)
698 3277 -4.0 87826 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2c+3c+4c
699 3281 -5.0 87269 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
700 3286 -4.0 87273 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
701 3290 -92.0 87652 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
702 3382 -146.0 88845 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i); D1
703 3528 -17.0 83549 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2c+3c+4c
704 3545 -16.0 83441 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
705 3561 -1.0 83556 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
706 3562 -5.0 83688 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
707 3567 -2.0 83861 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
708 3569 -1.0 83752 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
709 3570 -25.0 83623 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
710 3595 -4.0 83648 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
711 3599 -7.0 83874 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
712 3606 -5.0 83686 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
713 3611 -26.0 83666 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
714 3637 -2.0 83713 Skog (S) - Stor betydelse Forest ditching VU Vulnerable D1
715 3639 -19.0 83769 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
716 3658 -9.0 83758 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c; C1
717 3667 -1.0 83796 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
718 3668 -21.0 83803 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
719 3689 -1.0 83853 Skog (S) - Stor betydelse Forest ditching VU Vulnerable A2c+3c+4c; C2a(i)
720 3690 -4.0 83857 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
721 3694 -13.0 83863 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
722 3707 -14.0 83820 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
723 3721 -4.0 83929 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1+2a(i)
724 3725 -2.0 83993 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
725 3727 -2.0 83958 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i); D1
726 3729 -10.0 83937 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
727 3739 -28.0 83947 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
728 3767 -3.0 83969 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C2a(i)
729 3770 -45.0 83976 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
730 3815 -21.0 82065 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A3ce
731 3836 -5.0 82972 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened D1
732 3841 -105.0 89585 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
733 3946 -64.0 84208 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(iii); C2a(i)
734 4010 -32.0 84791 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
735 4042 -28.0 85002 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened D1
736 4070 -47.0 82133 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A2ce+3ce+4ce; D1
737 4117 -1.0 89176 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
738 4118 -95.0 87906 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
739 4213 -148.0 87697 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
740 4361 -1.0 89010 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
741 4362 -3.0 89012 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
742 4365 -3.0 89027 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
743 4368 -44.0 89044 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
744 4412 -2.0 84420 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
745 4414 -5.0 84399 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
746 4419 -8.0 84448 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C1+2a(i)
747 4427 -29.0 87751 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
748 4456 -44.0 87839 Skog (S) - Stor betydelse Forest ditching NT Near Threatened D1
749 4500 -92.0 86681 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
750 4592 -69.0 85323 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting DD Data Deficient NaN
751 4661 -84.0 87761 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable A3ce+4ce; C1+2a(i)
752 4745 -4.0 88680 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened A2c+3c+4c
753 4749 -36.0 88691 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2c+3c+4c
754 4785 -3.0 88785 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c
755 4788 -71.0 88796 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types DD Data Deficient NaN
756 4859 -2.0 83034 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
757 4861 -2.0 83002 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
758 4863 -37.0 83003 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
759 4900 -14.0 86266 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
760 4914 -5.0 86166 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
761 4919 -43.0 82174 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
762 4962 -122.0 85363 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
763 5084 -30.0 83423 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
764 5114 -75.0 85490 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
765 5189 -71.0 85918 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
766 5260 -62.0 87981 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1+2a(i)
767 5322 -23.0 88162 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1
768 5345 -1.0 87575 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1
769 5346 -1.0 87576 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1+2a(i); D1
770 5347 -13.0 87577 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i); D1
771 5360 -11.0 88572 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A3ce
772 5371 -61.0 88590 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
773 5432 -10.0 87791 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
774 5442 -3.0 87795 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A2c+3c+4c
775 5445 -3.0 87729 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A2c
776 5448 -1.0 89061 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
777 5449 -4.0 89062 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
778 5453 -1.0 88200 Skog (S) - Stor betydelse Forest ditching EN Endangered D
779 5454 -3.0 88370 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
780 5457 -8.0 88207 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c; C1; D1
781 5465 -2.0 88225 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
782 5467 -2.0 88231 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
783 5469 -2.0 88234 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened D1
784 5471 -9.0 88375 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
785 5480 -83.0 88951 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1
786 5563 -6.0 85792 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching VU Vulnerable D1
787 5569 -20.0 85801 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
788 5589 -43.0 81231 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
789 5632 -3.0 86021 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable D1
790 5635 -98.0 86026 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
791 5733 -1.0 87325 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2b(iii)
792 5734 -1.0 87289 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
793 5735 -10.0 87291 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered C2a(i)
794 5745 -2.0 87296 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
795 5747 -2.0 87333 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c
796 5749 -5.0 87335 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
797 5754 -14.0 87343 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
798 5768 -63.0 87586 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
799 5831 -11.0 88668 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
800 5842 -16.0 88693 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened D1
801 5858 -21.0 88737 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D1
802 5879 -27.0 88789 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D1
803 5906 -13.0 88849 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c
804 5919 -26.0 88869 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
805 5945 -3.0 88925 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D1
806 5948 -17.0 88936 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
807 5965 -1.0 89029 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
808 5966 -28.0 89024 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c+4c
809 5994 -12.0 88584 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1; D1
810 6006 -31.0 87590 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
811 6037 -18.0 88485 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
812 6055 -75.0 88999 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C1+2a(i)
813 6130 -130.0 82542 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2ce+3ce+4ce
814 6260 -16.0 86329 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
815 6276 -10.0 86417 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
816 6286 -22.0 86747 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
817 6308 -9.0 80285 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
818 6317 -1.0 87801 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
819 6318 -2.0 87802 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
820 6320 -4.0 87804 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
821 6324 -1.0 87810 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1
822 6325 -2.0 87811 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C1+2a(i)
823 6327 -57.0 87813 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
824 6384 -1.0 88595 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
825 6385 -24.0 88597 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
826 6409 -16.0 88929 Skog (S) - Stor betydelse Forest ditching NT Near Threatened D1
827 6425 -12.0 75875 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A2bc+3c+4c
828 6437 -3.0 75240 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4abc
829 6440 -6.0 71982 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2bc+3c+4c
830 6446 -12.0 75600 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened C1
831 6458 -28.0 76642 Jordbrukslandskap (J) - Stor betydelse, Skog (... Soil Acidification NT Near Threatened A2bc+3bc+4bc
832 6486 -1.0 71980 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching VU Vulnerable A2bc+4bc
833 6487 -93,514.0 74817 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types NT Near Threatened A2bc+4bc
834 100001 -10.0 55850 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A2bc
835 100011 -4.0 55843 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Clear-cutting NT Near Threatened D1
836 100015 -5.0 57043 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A3c
837 100020 -12.0 55923 Havsstrand (H) - Stor betydelse, Skog (S) - St... Pesticides VU Vulnerable D1
838 100032 -2.0 55727 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching RE Regionally Extinct NaN
839 100034 -7.0 55861 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Pesticides NT Near Threatened D1
840 100041 -5.0 56697 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides VU Vulnerable A2ac; C1
841 100046 -1.0 55971 Skog (S) - Stor betydelse Forest ditching CR Critically Endangered D
842 100047 -1.0 55962 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting RE Regionally Extinct NaN
843 100048 -1.0 55965 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching NT Near Threatened A2bc
844 100049 -1.0 55975 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2bc
845 100050 -1.0 56640 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable D1
846 100051 -3.0 57046 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened NaN
847 100054 -31.0 56001 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Pesticides NT Near Threatened D1
848 100085 -1.0 57049 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest ditching EN Endangered D
849 100086 -1.0 57051 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest ditching NT Near Threatened D1
850 100087 -7.0 57056 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest ditching NT Near Threatened NaN
851 100094 -14.0 56028 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching EN Endangered D
852 100108 -1.0 56219 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting NT Near Threatened D1
853 100109 -8.0 55959 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2abc
854 100117 -2.0 57136 Skog (S) - Stor betydelse, Sötvatten (L) - Sto... Pesticides NT Near Threatened NaN
855 100119 -1.0 57132 Skog (S) - Stor betydelse, Sötvatten (L) - Sto... Pesticides VU Vulnerable B1ab(iii,v)+2ab(iii,v)
856 100120 -9.0 56927 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Forest ditching RE Regionally Extinct NaN
857 100129 -7.0 56598 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting VU Vulnerable D
858 100136 -1.0 55930 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest replanting VU Vulnerable A2bc
859 100137 -12.0 55928 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened A2bc
860 100149 -1.0 8979 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
861 100150 -2.0 8980 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(iii)
862 100152 -3.0 7591 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
863 100155 -1.0 5205 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Fire prevention NT Near Threatened B2ab(iii)
864 100156 -3.0 40891 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
865 100159 -1.0 58965 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable B1ab(iii,iv,v)+2ab(iii,iv,v)
866 100160 -2.0 43833 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(iii)
867 100162 -2.0 43835 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(ii,iii,v)c(iv)+2ab(ii,iii,v)c(iv)
868 100164 -1.0 5374 Skog (S) - Stor betydelse Fire prevention EN Endangered B2ab(iii)c(iv)
869 100165 -1.0 5375 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Fire prevention NT Near Threatened A2c+3c
870 100166 -1.0 5376 Skog (S) - Stor betydelse Fire prevention RE Regionally Extinct NaN
871 100167 -2.0 43098 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
872 100169 -10.0 41098 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a
873 100179 -1.0 8991 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
874 100180 -4.0 8988 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
875 100184 -7.0 9288 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(iii)
876 100191 -1.0 10483 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii,iv)
877 100192 -1.0 9871 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
878 100193 -3.0 9883 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii,iv)
879 100196 -2.0 9886 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii,iv)
880 100198 -1.0 9888 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
881 100199 -4.0 9889 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii,iv)
882 100203 -5.0 39837 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(i,ii,iii,iv,v)
883 100208 -1.0 39855 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B1ab(iii,iv)+2ab(iii,iv)
884 100209 -1.0 3856 Skog (S) - Stor betydelse Fire prevention RE Regionally Extinct NaN
885 100210 -1.0 3851 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2ab(iii)
886 100211 -2.0 3853 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types CR Critically Endangered B1ab(iii)c(iv)+2ab(iii)c(iv)
887 100213 -5.0 3854 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2ab(iii)
888 100218 -1.0 4872 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
889 100219 -1.0 4877 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B1ab(iii)+2ab(iii)
890 100220 -1.0 4883 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
891 100221 -1.0 4885 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
892 100222 -3.0 4892 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
893 100225 -4.0 42880 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides EN Endangered B2ab(ii,iii,iv)
894 100229 -1.0 9650 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
895 100230 -2.0 40491 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(ii,iii,iv,v)c(iv)
896 100232 -3.0 10096 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
897 100235 -1.0 10455 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
898 100236 -1.0 12518 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
899 100237 -2.0 12519 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
900 100239 -1.0 2612 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
901 100240 -1.0 2618 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
902 100241 -1.0 2620 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
903 100242 -2.0 2621 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2a
904 100244 -11.0 52952 Skog (S) - Stor betydelse, Havsstrand (H) - Ha... Forest overgrowth on other land types CR Critically Endangered B1ab(iii)+2ab(iii)
905 100255 -3.0 14414 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
906 100258 -2.0 14417 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting NT Near Threatened B2ab(ii,iii,iv,v)
907 100260 -3.0 8744 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
908 100263 -2.0 8748 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting RE Regionally Extinct NaN
909 100265 -2.0 8752 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(iii)
910 100267 -1.0 8757 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c; B2ab(iii)
911 100268 -1.0 8759 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
912 100269 -1.0 8761 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2ab(iii)
913 100270 -2.0 8750 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
914 100272 -4.0 6982 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(iii)
915 100276 -1.0 5102 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
916 100277 -1.0 39891 Skog (S) - Stor betydelse Pesticides CR Critically Endangered B1ab(i,ii,iii,iv)+2ab(i,ii,iii,iv)
917 100278 -6.0 8518 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
918 100284 -5.0 28912 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B1b(iii)c(iv)+2b(iii)c(iv)
919 100289 -2.0 12829 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
920 100291 -2.0 27381 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(ii,iii)
921 100293 -3.0 12221 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(iii,iv)
922 100296 -1.0 4740 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
923 100297 -1.0 4712 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
924 100298 -5.0 4713 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
925 100303 -1.0 5361 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
926 100304 -14.0 5319 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
927 100318 -2.0 7635 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
928 100320 -1.0 53461 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
929 100321 -4.0 12784 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(i,ii,iii,iv,v)+2ab(i,ii,iii,iv,v)
930 100325 -45.0 41806 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(iii,v)c(iv)
931 100370 -9.0 43107 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)c(iv)
932 100379 -1.0 27383 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B2ab(ii,iii,iv,v)c(ii,iv)
933 100380 -1.0 27384 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
934 100381 -3.0 27387 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
935 100384 -1.0 27394 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii)
936 100385 -1.0 27396 Skog (S) - Stor betydelse Fire prevention EN Endangered B2ab(iii)c(iv)
937 100386 -1.0 27399 Skog (S) - Stor betydelse Fire prevention EN Endangered B2ab(iii)c(iv)
938 100387 -1.0 27400 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
939 100388 -2.0 52225 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(ii,iii,iv)
940 100390 -4.0 52230 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(ii,iii,iv)
941 100394 -3.0 18665 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching CR Critically Endangered B2ab(iii,iv,v)c(iv)
942 100397 -6.0 5418 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(iii)
943 100403 -5.0 6407 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting RE Regionally Extinct NaN
944 100408 -7.0 17398 Jordbrukslandskap (J) - Stor betydelse, Skog (... Fire prevention DD Data Deficient NaN
945 100415 -1.0 10164 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage VU Vulnerable B2ab(iii)
946 100416 -1.0 10322 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
947 100417 -2.0 10190 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching DD Data Deficient NaN
948 100419 -1.0 8693 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
949 100420 -1.0 6470 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
950 100421 -1.0 6472 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
951 100422 -1.0 6477 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
952 100423 -1.0 6478 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
953 100424 -4.0 6484 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
954 100428 -1.0 6463 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types DD Data Deficient NaN
955 100429 -2.0 6474 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
956 100431 -1.0 4622 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B1ab(iii)+2ab(iii)
957 100432 -5.0 53386 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
958 100437 -15.0 43300 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a
959 100452 -1.0 59705 Skog (S) - Stor betydelse, Urban miljö (U) - H... Soil Acidification NT Near Threatened B2a
960 100453 -7.0 40888 Skog (S) - Stor betydelse Forest ditching EN Endangered B2ab(ii,iii,iv,v)c(iv)
961 100460 -1.0 11334 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
962 100461 -1.0 11336 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
963 100462 -18.0 11337 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
964 100480 -1.0 11429 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
965 100481 -2.0 6223 Jordbrukslandskap (J) - Stor betydelse, Skog (... Fire prevention EN Endangered B2ab(iii,iv)c(iv)
966 100483 -13.0 12689 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii,iv)
967 100496 -3.0 10488 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
968 100499 -1.0 12156 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(i,iii,iv)
969 100500 -1.0 4568 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
970 100501 -3.0 6233 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
971 100504 -2.0 18868 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(ii,iii,iv)c(iv)
972 100506 -8.0 7559 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
973 100514 -1.0 59711 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable D2
974 100515 -1.0 4930 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types NT Near Threatened B2ab(iii,iv)
975 100516 -2.0 4931 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
976 100518 -5.0 4933 Skog (S) - Stor betydelse Fire prevention RE Regionally Extinct NaN
977 100523 -1.0 8654 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
978 100524 -1.0 6207 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c
979 100525 -2.0 18592 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
980 100527 -15.0 41413 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened D1
981 100542 -5.0 3562 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
982 100547 -1.0 8341 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)
983 100548 -16.0 8343 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
984 100564 -7.0 41503 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable B2ab(iii,v)
985 100571 -1.0 5138 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(iii)+2ab(iii)
986 100572 -1.0 5139 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
987 100573 -2.0 18596 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2b(i,iii)
988 100575 -1.0 9300 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii,iv)
989 100576 -1.0 6247 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii,iv)
990 100577 -17.0 6251 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
991 100594 -12.0 7465 Skog (S) - Stor betydelse, Urban miljö (U) - S... Forest overgrowth on other land types NT Near Threatened B2b(iii)
992 100606 -1.0 4950 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(iii)
993 100607 -3.0 52359 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B1ab(iii)+2ab(iii)
994 100610 -12.0 53452 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
995 100622 -1.0 5147 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
996 100623 -1.0 5148 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
997 100624 -1.0 12832 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(i,ii,iii)
998 100625 -4.0 12833 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(iii,iv,v)c(iv)
999 100629 -1.0 7125 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1000 100630 -5.0 7126 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1001 100635 -1.0 40393 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(ii,iii,iv)
1002 100636 -9.0 40392 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1003 100645 -2.0 19294 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv,v)
1004 100647 -3.0 53439 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2a
1005 100650 -5.0 12751 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1006 100655 -2.0 12180 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1007 100657 -3.0 12178 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1008 100660 -3.0 59713 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii,v)
1009 100663 -2.0 43892 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1010 100665 -2.0 18532 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ac(iv)
1011 100667 -11.0 42403 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(ii,iii,iv,v)
1012 100678 -1.0 19703 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(i,ii,iv)c(iv)
1013 100679 -2.0 42654 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(i,ii,iii,iv,v)
1014 100681 -7.0 39654 Skog (S) - Stor betydelse, Havsstrand (H) - Ha... Forest overgrowth on other land types EN Endangered B1ab(iii)+2ab(iii)
1015 100688 -4.0 39731 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2ab(iii)
1016 100692 -3.0 39764 Skog (S) - Stor betydelse Pesticides CR Critically Endangered B1ab(ii,iii)+2ab(ii,iii)
1017 100695 -6.0 39776 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(i,ii,iii)
1018 100701 -1.0 12731 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(iii)
1019 100702 -8.0 12732 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(iii,iv)
1020 100710 -2.0 6762 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1021 100712 -1.0 6763 Skog (S) - Stor betydelse Fire prevention RE Regionally Extinct NaN
1022 100713 -1.0 12570 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1023 100714 -1.0 12572 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1024 100715 -3.0 12577 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii,iv)
1025 100718 -1.0 42160 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2b(ii,iii,v)c(iv)
1026 100719 -1.0 42161 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B1b(iii,v)c(iv)+2b(iii,v)c(iv)
1027 100720 -1.0 7545 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(iii)
1028 100721 -1.0 7546 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
1029 100722 -2.0 7547 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1030 100724 -13.0 10642 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage DD Data Deficient NaN
1031 100737 -1.0 5892 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1032 100738 -1.0 5899 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1033 100739 -10.0 5900 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1034 100749 -3.0 6679 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1035 100752 -1.0 6536 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1036 100753 -2.0 6537 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1037 100755 -3.0 6546 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B2ab(iii,iv)
1038 100758 -5.0 6556 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1039 100763 -9.0 6596 Skog (S) - Stor betydelse Fire prevention EN Endangered B2ab(iii)
1040 100772 -4.0 6835 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2ab(iii)
1041 100776 -2.0 43519 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii)
1042 100778 -1.0 9067 Skog (S) - Stor betydelse Fire prevention RE Regionally Extinct NaN
1043 100779 -3.0 6987 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1044 100782 -4.0 10560 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(iii)
1045 100786 -2.0 10495 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1046 100788 -2.0 12503 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
1047 100790 -3.0 12853 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii)
1048 100793 -3.0 40364 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B2ab(ii,iii,iv)
1049 100796 -1.0 6109 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types DD Data Deficient NaN
1050 100797 -1.0 6110 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types RE Regionally Extinct NaN
1051 100798 -1.0 8617 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
1052 100799 -3.0 8618 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii,iv)
1053 100802 -1.0 6120 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1054 100803 -1.0 41694 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D
1055 100804 -3.0 53467 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1056 100807 -1.0 40357 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B1ab(iii)
1057 100808 -1.0 8695 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1058 100809 -4.0 8697 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1059 100813 -1.0 4646 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B2ab(iii,iv)
1060 100814 -6.0 6085 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types RE Regionally Extinct NaN
1061 100820 -1.0 4953 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting RE Regionally Extinct NaN
1062 100821 -1.0 4954 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1063 100822 -1.0 4955 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1064 100823 -7.0 4956 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1065 100830 -1.0 8893 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii,iv)
1066 100831 -7.0 42165 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2b(iii)c(iv)
1067 100838 -1.0 6225 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1068 100839 -1.0 53237 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B1b(iii)c(iv)+2b(iii)c(iv)
1069 100840 -1.0 29980 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(ii,iii,iv,v)
1070 100841 -1.0 12223 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention VU Vulnerable B2ab(iii,iv)
1071 100842 -7.0 12224 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting RE Regionally Extinct NaN
1072 100849 -5.0 43944 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(i,ii,iv)
1073 100854 -8.0 4745 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1074 100862 -2.0 8796 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B2ab(iii)
1075 100864 -2.0 9768 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1076 100866 -4.0 8832 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting CR Critically Endangered B1ab(iii)
1077 100870 -7.0 41465 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(iii,v)c(iv)
1078 100877 -4.0 40396 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides VU Vulnerable B2ab(i,ii,iii,iv,v)
1079 100881 -1.0 40704 Skog (S) - Stor betydelse Forest replanting VU Vulnerable B2ab(ii,iii,iv,v)
1080 100882 -3.0 29418 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
1081 100885 -5.0 6657 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types EN Endangered B2ab(iii,iv)
1082 100890 -1.0 8771 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1083 100891 -3.0 12652 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types CR Critically Endangered B2ab(iii,iv)
1084 100894 -2.0 59896 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B1a+2a
1085 100896 -1.0 6722 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable B2ab(iii,iv)
1086 100897 -1.0 6724 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1087 100898 -2.0 6729 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
1088 100900 -1.0 12187 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1089 100901 -14.0 12188 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(iii)
1090 100915 -1.0 6894 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1091 100916 -2.0 6900 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage NT Near Threatened B2ab(iii)
1092 100918 -2.0 6917 Skog (S) - Stor betydelse, Urban miljö (U) - H... Fire prevention EN Endangered B2ab(iii)c(iv)
1093 100920 -4.0 8227 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1094 100924 -4.0 40002 Skog (S) - Stor betydelse Forest replanting NT Near Threatened B2ab(iii)
1095 100928 -9.0 8827 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1096 100937 -1.0 43013 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii)
1097 100938 -3.0 43017 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)c(ii,iii,iv)
1098 100941 -2.0 18534 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2a
1099 100943 -2.0 42617 Skog (S) - Stor betydelse Forest replanting NT Near Threatened B2ab(i,ii,iii,iv,v)
1100 100945 -4.0 40764 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching VU Vulnerable B2ac(iv)
1101 100949 -2.0 40786 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened D2
1102 100951 -4.0 11384 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
1103 100955 -4.0 11401 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1104 100959 -4.0 44381 Havsstrand (H) - Stor betydelse, Skog (S) - St... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1105 100963 -1.0 10500 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B1ab(iii)+2ab(iii)
1106 100964 -1.0 10501 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1107 100965 -1.0 10502 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1108 100966 -1.0 40715 Skog (S) - Stor betydelse Forest ditching VU Vulnerable B2ab(ii,iii,iv,v)
1109 100967 -7.0 11514 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1110 100974 -1.0 5378 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable B2ab(iii,iv)
1111 100975 -3.0 5208 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1112 100978 -19.0 40509 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B1b(i,ii,iii,iv,v)c(iv)+2b(i,ii,iii,iv,v)c(iv)
1113 100997 -1.0 4666 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1114 100998 -2.0 4669 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1115 101000 -2.0 9080 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1116 101002 -1.0 9480 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1117 101003 -20.0 9481 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1118 101023 -5.0 10519 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1119 101028 -4.0 41872 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable B2b(ii,iii,iv,v)c(iv)
1120 101032 -5.0 4721 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting VU Vulnerable B2ab(iii)
1121 101037 -1.0 42771 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,v)
1122 101038 -3.0 10967 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
1123 101041 -21.0 11022 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1124 101062 -12.0 17427 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(ii,iii,iv,v)
1125 101074 -7.0 44221 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2c(iv)
1126 101081 -2.0 40837 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)c(iv)+2ab(ii,iii,iv,v)c(iv)
1127 101083 -27.0 13408 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2c(ii,iv)
1128 101110 -1.0 12525 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(iii,iv)
1129 101111 -10.0 6154 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1130 101121 -9.0 11795 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B1ab(iii)+2ab(iii)
1131 101130 -1.0 12232 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1132 101131 -2.0 12233 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1133 101133 -1.0 40984 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ab(iii)+2ab(iii)
1134 101134 -2.0 41001 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides NT Near Threatened B1ac(iv)+2ac(iv); D2
1135 101136 -1.0 43332 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(iii)
1136 101137 -2.0 45326 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii)
1137 101139 -1.0 8305 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(iii,iv)
1138 101140 -1.0 8766 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1139 101141 -1.0 12394 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1140 101142 -1.0 12395 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1141 101143 -1.0 12396 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1142 101144 -8.0 12397 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii,iv)
1143 101152 -1.0 22763 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B2ab(iii)
1144 101153 -1.0 6091 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1145 101154 -2.0 5880 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1146 101156 -4.0 5884 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1147 101160 -1.0 59721 Havsstrand (H) - Stor betydelse, Skog (S) - St... Soil Acidification NT Near Threatened B2a
1148 101161 -1.0 8620 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types RE Regionally Extinct NaN
1149 101162 -1.0 8622 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(iii)
1150 101163 -1.0 6688 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1151 101164 -2.0 6689 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)c(iii,iv)
1152 101166 -1.0 39500 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(ii,iii,v)
1153 101167 -1.0 42277 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching RE Regionally Extinct NaN
1154 101168 -2.0 53449 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
1155 101170 -16.0 12747 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii)
1156 101186 -7.0 5214 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1157 101193 -5.0 14200 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1158 101198 -1.0 5338 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types EN Endangered B2ab(iii)
1159 101199 -1.0 5323 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1160 101200 -9.0 5347 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1161 101209 -3.0 6617 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c; B2ab(iii,iv)
1162 101212 -6.0 42605 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B1ac(iii,iv)
1163 101218 -24.0 9880 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1164 101242 -1.0 42670 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2b(ii,iii,v)
1165 101243 -1.0 11966 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1166 101244 -1.0 11957 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1167 101245 -5.0 26794 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(iii)+2ab(iii)
1168 101250 -2.0 6620 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1169 101252 -2.0 41596 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)c(iv)
1170 101254 -4.0 9251 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1171 101258 -3.0 59723 Skog (S) - Stor betydelse Soil Acidification VU Vulnerable B2ab(iii)
1172 101261 -3.0 40850 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(ii,iii,iv,v)
1173 101264 -1.0 18702 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting VU Vulnerable B2ab(i,ii,iii,iv)
1174 101265 -1.0 8595 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1175 101266 -11.0 8598 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1176 101277 -2.0 26891 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ac(iv)
1177 101279 1,212.0 2732 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting CR Critically Endangered B1ab(ii,iii,v)+2ab(ii,iii,v)
1178 100067 NaN 55875 Brackvatten (B) - Stor betydelse, Havsstrand (... Forest ditching NT Near Threatened D1
1179 101279 -1.0 2732 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching CR Critically Endangered B1ab(ii,iii,v)+2ab(ii,iii,v)
1180 101280 -1.0 4671 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1181 101281 -1.0 12236 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(iii,iv)
1182 101282 -1.0 12237 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(iii,iv)
1183 101283 -4.0 12238 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention EN Endangered B2ab(iii)
1184 101287 -2.0 11405 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1185 101289 -10.0 6941 Skog (S) - Stor betydelse Forest ditching NT Near Threatened B1b(iii)c(iv)+2b(iii)c(iv)
1186 101299 -7.0 29299 Skog (S) - Stor betydelse, Urban miljö (U) - S... Pesticides CR Critically Endangered C2a(ii)b
1187 101306 -4.0 12624 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
1188 101310 -2.0 5244 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1189 101312 -9.0 5246 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1190 101321 -8.0 9982 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii)
1191 101329 -12.0 8844 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1192 101341 -6.0 5258 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting EN Endangered B2ab(iii,iv)
1193 101347 -1.0 12300 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1194 101348 -2.0 12352 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1195 101350 -2.0 12532 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1196 101352 -1.0 12367 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1197 101353 -3.0 12368 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii,iv)
1198 101356 -3.0 12372 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1199 101359 -3.0 11976 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching DD Data Deficient NaN
1200 101362 -4.0 18631 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(iii)
1201 101366 -2.0 41952 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened D1
1202 101368 -7.0 12410 Skog (S) - Stor betydelse, Havsstrand (H) - Ha... Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
1203 101375 -6.0 42978 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a
1204 101381 -6.0 39370 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D2
1205 101387 -2.0 17433 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting VU Vulnerable B2ab(ii,iii,iv,v)
1206 101389 -1.0 13769 Skog (S) - Stor betydelse, Urban miljö (U) - S... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1207 101390 -2.0 13771 Skog (S) - Stor betydelse, Urban miljö (U) - S... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1208 101392 -1.0 11475 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii)
1209 101393 -6.0 11476 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1210 101399 -9.0 5345 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
1211 101408 -2.0 4697 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(iii,iv)
1212 101410 -2.0 5424 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c
1213 101412 -1.0 6694 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
1214 101413 -1.0 6695 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
1215 101414 -3.0 10387 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2b(iii)
1216 101417 -5.0 10328 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii)
1217 101422 -1.0 5262 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1218 101423 -6.0 5185 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1219 101429 -15.0 12193 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(iii)
1220 101444 -1.0 43750 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(i,ii,iii,iv,v)c(iv)
1221 101445 -1.0 41802 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2c(iv)
1222 101446 -2.0 4731 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1223 101448 -1.0 10850 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
1224 101449 -14.0 10851 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
1225 101463 -2.0 6076 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1226 101465 -1.0 12244 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention NT Near Threatened B2ab(iii,iv)
1227 101466 -8.0 12246 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable B2ab(iii)
1228 101474 -5.0 8310 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1229 101479 -2.0 9483 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1230 101481 -7.0 12269 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(iii)
1231 101488 -8.0 6236 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(iii)
1232 101496 -1.0 40586 Havsstrand (H) - Stor betydelse, Skog (S) - St... Forest overgrowth on other land types EN Endangered B2ab(iii,v)c(iv)
1233 101497 -7.0 21362 Skog (S) - Stor betydelse Forest ditching VU Vulnerable B2ab(ii,iii,iv)
1234 101504 -5.0 17413 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(ii,iii,iv,v)
1235 101509 -7.0 42720 Havsstrand (H) - Stor betydelse, Jordbruksland... Forest overgrowth on other land types NT Near Threatened B2b(i,ii,iii,iv,v)c(iv)
1236 101516 -1.0 2606 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting NT Near Threatened #REF!
1237 101517 -3.0 6599 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1238 101520 -2.0 6199 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)c(iv)
1239 101522 -1.0 29519 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2a; D2
1240 101523 -1.0 29520 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(i,ii,iii,iv)+2ab(i,ii,iii,iv)
1241 101524 -1.0 10744 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1242 101525 -1.0 12564 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1243 101526 -6.0 59787 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification NT Near Threatened B2a
1244 101532 -10.0 40856 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2b(ii,iii,iv,v)
1245 101542 -7.0 53058 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1246 101549 -1.0 7576 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1247 101550 -1.0 7577 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1248 101551 -2.0 7578 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1249 101553 -5.0 6187 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1250 101558 -8.0 12241 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(i,iii,iv)
1251 101566 -1.0 5124 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B1ab(iii)+2ab(iii)
1252 101567 -2.0 10541 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1253 101569 -12.0 12103 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
1254 101581 -1.0 10788 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B1b(iii)+2b(iii)
1255 101582 -6.0 5156 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(iii)+2ab(iii)
1256 101588 -2.0 8891 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1257 101590 -2.0 12567 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1258 101592 -1.0 8204 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types RE Regionally Extinct NaN
1259 101593 -1.0 7097 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)c(iv)
1260 101594 -1.0 9064 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1261 101595 -1.0 9065 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii,iv)
1262 101596 -3.0 9066 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii,iv)
1263 101599 -1.0 11409 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1264 101600 -2.0 11410 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1265 101602 -1.0 8997 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1266 101603 -2.0 9001 Skog (S) - Stor betydelse Fire prevention NT Near Threatened A2c+3c; B2ab(iii,iv)
1267 101605 -3.0 18876 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1268 101608 -1.0 4962 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2c+3c
1269 101609 -3.0 5279 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1270 101612 -17.0 41928 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Climate change EN Endangered B1ab(iii)c(iv)+2ab(iii)c(iv)
1271 101629 -2.0 5414 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1272 101631 -4.0 12538 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
1273 101635 -1.0 12426 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(iii)
1274 101636 -1.0 40108 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B1ab(iii)
1275 101637 -3.0 18878 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting RE Regionally Extinct NaN
1276 101640 -2.0 10891 Havsstrand (H) - Stor betydelse, Skog (S) - St... Clear-cutting NT Near Threatened B2ab(iii)
1277 101642 -9.0 12098 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention NT Near Threatened B2ab(iii,iv)
1278 101651 -14.0 4846 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1279 101665 -9.0 9964 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1280 101674 -11.0 10017 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting NT Near Threatened B2ab(iii)
1281 101685 -6.0 42410 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii,v)c(iv)
1282 101691 -1.0 12436 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii,iv)
1283 101692 -5.0 12438 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(i,iii,iv)
1284 101697 -2.0 11721 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1285 101699 -1.0 16025 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(ii,iii,iv,v)c(iv)
1286 101700 -2.0 8768 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(iii)
1287 101702 -2.0 8848 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention VU Vulnerable B2ab(iii)
1288 101704 -4.0 5392 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1289 101708 -2.0 6837 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1290 101710 -2.0 6847 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2ab(iii)
1291 101712 -1.0 5129 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B1ab(iii)+2ab(iii)
1292 101713 -1.0 5130 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types RE Regionally Extinct NaN
1293 101714 -2.0 7751 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(iii)
1294 101716 -2.0 7585 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B1ab(iii)+2ab(iii)
1295 101718 -3.0 4547 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
1296 101721 -3.0 5197 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
1297 101724 -1.0 39562 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii,v)
1298 101725 -3.0 6409 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B2ab(iii)
1299 101728 -4.0 5293 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A2c+3c; B2ab(iii,iv)
1300 101732 -2.0 42535 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1301 101734 -3.0 11433 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii)
1302 101737 -7.0 41553 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(iii,v)c(iv)
1303 101744 -1.0 8352 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1304 101745 -11.0 8356 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
1305 101756 -15.0 11519 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(iii)
1306 101771 -11.0 12016 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting RE Regionally Extinct NaN
1307 101782 -1.0 10547 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1308 101783 -1.0 7073 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention NT Near Threatened B2ab(iii)
1309 101784 -13.0 7077 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1310 101797 -2.0 18510 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii,iv)c(iv)
1311 101799 -1.0 42060 Skog (S) - Stor betydelse, Urban miljö (U) - S... Forest overgrowth on other land types EN Endangered B2b(i,ii,v)c(i,ii,iii,iv)
1312 101800 -2.0 59930 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2bc; B2ab(ii,iii,iv,v)
1313 101802 -1.0 12475 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii,iv)
1314 101803 -4.0 12476 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2b(iii)c(iii,iv)
1315 101807 -9.0 18880 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable B2ab(iii,iv,v)
1316 101816 -4.0 4739 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii,iv)
1317 101820 -17.0 8713 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1318 101837 -2.0 11893 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B1a+2a
1319 101839 -9.0 11897 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types DD Data Deficient NaN
1320 101848 -1.0 11927 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage NT Near Threatened B2ab(iii)
1321 101849 -1.0 4597 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Fire prevention NT Near Threatened B2b(iii)c(iii,iv)
1322 101850 -2.0 4599 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Fire prevention VU Vulnerable B2b(iii)c(iii,iv)
1323 101852 -7.0 7565 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1324 101859 -10.0 5364 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1325 101869 -2.0 2866 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
1326 101871 -1.0 39537 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ac(iv)
1327 101872 -4.0 12750 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1328 101876 -2.0 13680 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting NT Near Threatened B2ab(iii)
1329 101878 -1.0 13682 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting VU Vulnerable B2ab(iii)
1330 101879 -1.0 12031 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
1331 101880 -1.0 12035 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1332 101881 -6.0 10550 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(iii)+2ab(iii)
1333 101887 -1.0 12695 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1334 101888 -1.0 6238 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(iii)+2ab(iii)
1335 101889 -2.0 9005 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types RE Regionally Extinct NaN
1336 101891 -1.0 12722 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
1337 101892 -1.0 5306 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1338 101893 -10.0 10411 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1339 101903 -2.0 10768 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1340 101905 -8.0 6203 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1341 101913 -5.0 4550 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable B2ab(iii)
1342 101918 -2.0 44003 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B1ab(iii)+2ab(iii)
1343 101920 -1.0 5411 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
1344 101921 -4.0 43359 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(iii,iv)
1345 101925 -4.0 40901 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii,v)
1346 101929 -3.0 4694 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1347 101932 -5.0 53435 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B1a+2a; D2
1348 101937 -1.0 8235 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1349 101938 -12.0 8238 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1350 101950 -4.0 12709 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1351 101954 -5.0 12626 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(iii,iv)
1352 101959 -1.0 12100 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1353 101960 -3.0 12311 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1354 101963 -7.0 11516 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting DD Data Deficient NaN
1355 101970 -4.0 41658 Skog (S) - Stor betydelse Clear-cutting CR Critically Endangered A2c
1356 101974 -4.0 12478 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1357 101978 -3.0 40932 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching NT Near Threatened B2ab(i,ii,iii,iv,v)
1358 101981 -1.0 42071 Skog (S) - Stor betydelse Climate change EN Endangered B2ab(i,ii,iii,iv,v)c(iv)
1359 101982 -2.0 42076 Skog (S) - Stor betydelse Climate change VU Vulnerable B2ab(ii,iii)c(iv)
1360 101984 -1.0 42078 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)c(iv)
1361 101985 -3.0 42085 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(i,ii,iii,iv,v)c(iv)
1362 101988 -3.0 8388 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1363 101991 -1.0 4855 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1364 101992 -2.0 4856 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1365 101994 -1.0 4858 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1366 101995 -1.0 4859 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1367 101996 -1.0 12255 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
1368 101997 -1.0 11029 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1369 101998 -1.0 12753 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
1370 101999 -2.0 18511 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting EN Endangered B2ab(iii)
1371 102001 -1.0 19696 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(ii,iii)
1372 102002 -1.0 19697 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(ii,iii,iv)
1373 102003 -1.0 8867 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention NT Near Threatened B2ab(iii)
1374 102004 -1.0 5163 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B1ab(iii)+2ab(iii)
1375 102005 -2.0 5159 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii,iv)
1376 102007 -9.0 40302 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(iii)+2ab(iii)
1377 102016 -7.0 12263 Skog (S) - Stor betydelse Fire prevention NT Near Threatened A2c+3c; B2ab(iii,iv)
1378 102023 -1.0 24495 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(ii,iii,v)
1379 102024 -1.0 24496 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iv)
1380 102025 -1.0 24539 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1381 102026 -9.0 24504 Skog (S) - Stor betydelse, Sötvatten (L) - Har... Clear-cutting DD Data Deficient NaN
1382 102035 -1.0 24672 Skog (S) - Stor betydelse, Sötvatten (L) - Sto... Water systems damage DD Data Deficient NaN
1383 102036 -15.0 24649 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable B2ab(ii,iii)
1384 102051 -3.0 24609 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Climate change NT Near Threatened B2ab(iii)
1385 102054 -3.0 24614 Skog (S) - Stor betydelse, Sötvatten (L) - Har... Clear-cutting DD Data Deficient NaN
1386 102057 -1.0 24567 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2b(ii)
1387 102058 -2.0 24599 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii)c(iv)+2ab(ii,iii)c(iv)
1388 102060 -5.0 24102 Skog (S) - Stor betydelse, Sötvatten (L) - Sto... Forest ditching DD Data Deficient NaN
1389 102065 -10.0 21475 Skog (S) - Stor betydelse, Sötvatten (L) - Sto... Forest overgrowth on other land types NT Near Threatened B2a
1390 102075 -16.0 21487 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B1ab(iii)+2ab(iii)
1391 102091 -1.0 12943 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv,v)
1392 102092 -18.0 12841 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
1393 102110 -15.0 55879 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Clear-cutting NT Near Threatened C1
1394 102125 -1.0 56554 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest ditching VU Vulnerable A4bc
1395 102126 -26.0 56625 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides CR Critically Endangered A2abcd
1396 102152 -7.0 12089 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention NT Near Threatened B2ab(iii)
1397 102159 -1.0 4881 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1398 102160 -5.0 10150 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1399 102165 -1.0 8762 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered B1ab(iii)
1400 102166 -1.0 9903 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1401 102167 -2.0 12490 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
1402 102169 -3.0 12407 Havsstrand (H) - Stor betydelse, Skog (S) - St... Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
1403 102172 -14.0 7092 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1404 102186 -13.0 5422 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered B1ab(iii)c(iv)
1405 102199 -5.0 11427 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B1ab(iii)+2ab(iii)
1406 102204 -2.0 5110 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened A2c+3c; B2ab(iii,iv)
1407 102206 -6.0 8344 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1408 102212 -4.0 12168 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1409 102216 -1.0 6772 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1410 102217 -11.0 12573 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B2ab(iii,iv)
1411 102228 -2.0 4751 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1412 102230 -3.0 8405 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1413 102233 -3.0 6155 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1414 102236 -1.0 7106 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1415 102237 -5.0 6728 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii,iv)
1416 102242 -2.0 11388 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1417 102244 -4.0 11585 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable B2ab(iii)
1418 102248 -2.0 5325 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
1419 102250 -28.0 4761 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1420 102278 -7.0 8368 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1421 102285 -4.0 8862 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable B2ab(iii)
1422 102289 -8.0 12460 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention NT Near Threatened B2ab(iii)
1423 102297 -10.0 4607 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1424 102307 -2.0 10844 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting VU Vulnerable B1ab(iii,iv)+2ab(iii,iv)
1425 102309 -1.0 12325 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1426 102310 -12.0 12330 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1427 102322 -1.0 12248 Skog (S) - Stor betydelse, Jordbrukslandskap (... Fire prevention NT Near Threatened B2ab(iii,iv)
1428 102323 -2.0 12175 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting DD Data Deficient NaN
1429 102325 -1.0 8318 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1430 102326 -2.0 8321 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable B2ab(iii)
1431 102328 -5.0 8999 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(iii)
1432 102333 -8.0 12257 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(iii)
1433 102341 -8.0 8714 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1434 102349 -5.0 6213 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered B1ab(iii)c(iv)+2ab(iii)c(iv)
1435 102354 -1.0 6647 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1436 102355 -3.0 7109 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii,iv)
1437 102358 -2.0 4849 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1438 102360 -1.0 43837 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(iii)
1439 102361 -3.0 43841 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv)
1440 102364 -6.0 43100 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D2
1441 102370 -5.0 43326 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ac(iv)+2ac(iv)
1442 102375 -5.0 39389 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides VU Vulnerable B2ab(iii); D2
1443 102380 -32.0 40379 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides NT Near Threatened B2ab(iii,v)
1444 102412 -1.0 43669 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B1ab(iii)+2ab(iii)
1445 102413 -12.0 40352 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1446 102425 -2.0 39926 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)c(iv)+2ab(ii,iii,iv,v)c(iv)
1447 102427 -2.0 39958 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching NT Near Threatened B2ab(iii)
1448 102429 -1.0 39966 Skog (S) - Stor betydelse Forest ditching EN Endangered B2ab(i,ii,iii,iv,v)
1449 102430 -1.0 39980 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D2
1450 102431 -2.0 43382 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1451 102433 -17.0 43573 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1452 102450 -2.0 40399 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(i,ii,iii,iv,v)
1453 102452 -3.0 41184 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(iii)
1454 102455 -12.0 43329 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1455 102467 -1.0 43344 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(iii,iv)c(iv)
1456 102468 -5.0 43345 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(iii,iv)
1457 102473 -2.0 43396 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1458 102475 -1.0 41713 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types RE Regionally Extinct NaN
1459 102476 -4.0 39987 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv,v)
1460 102480 -5.0 41159 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
1461 102485 -1.0 43763 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest replanting NT Near Threatened B2ab(ii,iii,iv)
1462 102486 -1.0 40319 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B1a+2a
1463 102487 -11.0 43379 Skog (S) - Stor betydelse, Urban miljö (U) - S... Forest overgrowth on other land types VU Vulnerable B2ab(iii)c(iv)
1464 102498 -6.0 40360 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(iii)
1465 102504 -1.0 39989 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii)
1466 102505 -3.0 41285 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2a
1467 102508 -6.0 43412 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a
1468 102514 -4.0 42068 Skog (S) - Stor betydelse Climate change EN Endangered B2ab(iii,v)c(iv)
1469 102518 -4.0 11251 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(iii)
1470 102522 -4.0 5427 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1471 102526 -1.0 18601 Skog (S) - Stor betydelse, Havsstrand (H) - Ha... Water systems damage VU Vulnerable B2ab(iii)c(iv)
1472 102527 -1.0 18602 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii)c(iv)
1473 102528 -1.0 18603 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(iii)
1474 102529 -1.0 18859 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching VU Vulnerable B2ab(i,ii,iii,iv,v)
1475 102530 -7.0 18860 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching VU Vulnerable B2ab(iii,iv,v)
1476 102537 -10.0 18672 Skog (S) - Stor betydelse, Sötvatten (L) - Sto... Forest ditching RE Regionally Extinct NaN
1477 102547 -4.0 18729 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(iii,iv,v)
1478 102551 -1.0 18598 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting EN Endangered B2ac(iv)
1479 102552 -2.0 18888 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching NT Near Threatened B2b(i,iii)
1480 102554 -1.0 18898 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii,iv,v)
1481 102555 -2.0 18899 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2ab(iii)
1482 102557 -3.0 18593 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
1483 102560 -1.0 53445 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1484 102561 -9.0 53463 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii)
1485 102570 -1.0 52829 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1486 102571 -7.0 52234 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D2
1487 102578 -7.0 52192 Skog (S) - Stor betydelse Forest ditching VU Vulnerable B2ab(iii)
1488 102585 -26.0 53347 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(iii)
1489 102611 -1.0 56005 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Pesticides NT Near Threatened A2b
1490 102612 -15.0 55173 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2b
1491 102627 -330.0 27781 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii,iv)
1492 102957 -18.0 55481 Skog (S) - Stor betydelse, Sötvatten (L) - Sto... Forest ditching NT Near Threatened A2b
1493 102975 -20.0 55919 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest replanting VU Vulnerable D1
1494 102995 -6.0 56451 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest replanting CR Critically Endangered A2abcd
1495 103001 -7.0 56370 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest ditching NT Near Threatened A2b
1496 103008 -4.0 56281 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened A2b
1497 103012 -6.0 56196 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2b
1498 103018 -2.0 56423 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting NT Near Threatened A2b
1499 103020 -1.0 56102 Skog (S) - Stor betydelse, Urban miljö (U) - S... Forest ditching NT Near Threatened A2b
1500 103021 -1.0 56104 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2bc
1501 103022 -13.0 56106 Skog (S) - Stor betydelse Forest ditching NT Near Threatened A2bc
1502 103035 -2.0 56085 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened A2be
1503 103037 -5.0 56343 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides VU Vulnerable A2bc
1504 103042 -13.0 56571 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides EN Endangered A2be
1505 103055 -1.0 56628 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides NT Near Threatened A2b
1506 103056 -4.0 56637 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching NT Near Threatened A2bcd
1507 103060 -14.0 55869 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides EN Endangered D
1508 103074 -130.0 56415 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
1509 103204 -23.0 29280 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(i,ii,iii,iv)
1510 103227 -596.0 29058 Skog (S) - Stor betydelse, Urban miljö (U) - S... Forest overgrowth on other land types EN Endangered B1ab(i,ii,iii,iv,v)+2ab(i,ii,iii,iv,v)
1511 103823 -321.0 9068 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii,iv)
1512 104144 -265.0 11712 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii)
1513 104409 -2.0 10927 Skog (S) - Stor betydelse Fire prevention DD Data Deficient NaN
1514 104411 -35.0 10911 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1515 104446 -1.0 11461 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1516 104447 -249.0 11457 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1517 104696 -132.0 10755 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1518 104828 -162.0 10229 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
1519 104990 -140.0 10568 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types DD Data Deficient NaN
1520 105130 -3.0 8593 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1521 105133 -51.0 8578 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable B2ab(iii)
1522 105184 -28.0 8751 Skog (S) - Stor betydelse Fire prevention DD Data Deficient NaN
1523 105212 -91.0 4939 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1524 105303 -3.0 4823 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1525 105306 -10.0 4827 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1526 105316 -15.0 4778 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting NT Near Threatened B2ab(iii)
1527 105331 -28.0 4749 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1528 105359 -30.0 6150 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii)
1529 105389 -2.0 6908 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
1530 105391 -65.0 6895 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1531 105456 -24.0 6843 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1532 105480 -22.0 6601 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii)
1533 105502 -9.0 6529 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1534 105511 -46.0 6540 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1535 105557 -138.0 6462 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types DD Data Deficient NaN
1536 105695 -33.0 6723 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1537 105728 -3.0 6778 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
1538 105731 -2.0 6787 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii,iv)
1539 105733 -4.0 6766 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1540 105737 -4.0 6784 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1541 105741 -17.0 6798 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1542 105758 -61.0 12182 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1543 105819 -26.0 12513 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii)
1544 105845 -5.0 12710 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii)
1545 105850 -44.0 12575 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B2ab(iii,iv)
1546 105894 -10.0 5408 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1547 105904 -114.0 5384 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii)
1548 106018 -19.0 6050 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2a
1549 106037 -394.0 5838 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1550 106431 -25.0 7584 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1551 106456 -5.0 8188 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
1552 106461 -79.0 7601 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
1553 106540 -1.0 8287 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2b(iii)
1554 106541 -2.0 8288 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2b(iii)
1555 106543 -24.0 8290 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2b(iii)
1556 106567 -25.0 8301 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1557 106592 -4.0 8217 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1558 106596 -93,847.0 88393 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C1
1559 200443 -14.0 18848 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(iii)c(iv)+2ab(iii)c(iv)
1560 200457 -210.0 18857 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ac(iv)+2ac(iv)
1561 200667 -163.0 18634 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting NT Near Threatened B1ab(iii)+2ab(iii)
1562 200830 -53.0 18909 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting NT Near Threatened B2ab(iii)
1563 200883 -40.0 2762 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting VU Vulnerable B1ab(ii,iii,iv)+2ab(ii,iii,iv)
1564 200923 -199.0 2842 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting NT Near Threatened B2a
1565 201122 -47.0 42537 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A3ce
1566 201169 -4,137.0 41201 Skog (S) - Stor betydelse Climate change NT Near Threatened B2ab(ii,iii)c(iv)
1567 205306 -685.0 86435 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened C2a(i)
1568 205991 -3.0 57053 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest ditching EN Endangered D
1569 205994 -4.0 57063 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable D1
1570 205998 -4.0 57045 Jordbrukslandskap (J) - Stor betydelse, Skog (... Pesticides NT Near Threatened A2bc
1571 206002 -2.0 57066 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest ditching NT Near Threatened A2bc
1572 206004 -3,200.0 56757 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest ditching NT Near Threatened A2ce
1573 209204 -2,015.0 9979 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1574 211219 -2,268.0 8907 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
1575 213487 -327.0 7595 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2a
1576 213814 -22.0 41321 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2b(ii,iii,iv,v)
1577 213836 -17.0 41284 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2b(ii,iii,iv,v)
1578 213853 -20.0 41273 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2a
1579 213873 -22.0 41332 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(iii)
1580 213895 -135.0 39359 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1581 214030 -9.0 41015 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
1582 214039 -70.0 41052 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(i,ii,iii,iv,v)
1583 214109 -27.0 41169 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
1584 214136 -254.0 44186 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)
1585 214390 -26.0 39644 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1586 214416 -17.0 39905 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(iii)
1587 214433 -1.0 39676 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
1588 214434 -127.0 39730 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2b(iii)
1589 214561 -174.0 40336 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1590 214735 -17.0 40189 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1591 214752 -49.0 40178 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1592 214801 -105.0 39515 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1593 214906 -9.0 43819 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Soil Acidification DD Data Deficient NaN
1594 214915 -85.0 43947 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii,v)
1595 215000 -153.0 43462 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Climate change DD Data Deficient NaN
1596 215153 -42.0 43455 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened A3ce
1597 215195 -15.0 43529 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(iii)
1598 215210 -147.0 43740 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened A3ce; B2b(iii)
1599 215357 -26.0 43151 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2ab(v)
1600 215383 -28.0 43029 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ac(i,ii,iii,iv)
1601 215411 -56.0 42876 Havsstrand (H) - Stor betydelse, Jordbruksland... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv)
1602 215467 -231.0 43076 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1603 215698 -15.0 40931 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii)c(iii,iv)
1604 215713 -7.0 40818 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest overgrowth on other land types NT Near Threatened A2c+3c
1605 215720 -24.0 40721 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2ab(ii,iii,v)
1606 215744 -5.0 40719 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii,v)
1607 215749 -18.0 40695 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching EN Endangered B2ab(i,ii,iii,iv,v)
1608 215767 -1.0 40874 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(ii,iii,v)c(iv)
1609 215768 -17.0 40873 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(ii,iii,v)c(iv)
1610 215785 -26.0 40868 Havsstrand (H) - Stor betydelse, Jordbruksland... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1611 215811 -15.0 40748 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1612 215826 -212.0 40753 Havsstrand (H) - Stor betydelse, Jordbruksland... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1613 216038 -9.0 42162 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B2b(iii)c(iv)
1614 216047 -201.0 42185 Jordbrukslandskap (J) - Stor betydelse, Skog (... Climate change NT Near Threatened B2c(i,iv)
1615 216248 -4.0 42070 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(ii,iii,iv,v)c(iv)
1616 216252 -3.0 42079 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Climate change VU Vulnerable B2ab(iii)
1617 216255 -7.0 42065 Fjäll (F) - Stor betydelse, Skog (S) - Stor be... Climate change NT Near Threatened B2b(iii)c(iv)
1618 216262 -3.0 42067 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1619 216265 -1.0 42073 Havsstrand (H) - Stor betydelse, Jordbruksland... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1620 216266 -2,635.0 42075 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v)
1621 218901 -179.0 52733 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened B1ab(iii)+2ab(iii)
1622 219080 -12.0 53085 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
1623 219092 -19.0 52291 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest ditching NT Near Threatened B2b(iv)
1624 219111 -42.0 52379 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types DD Data Deficient NaN
1625 219153 -58.0 52421 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2a
1626 219211 -1,576.0 53110 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1627 220787 -262.0 95743 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2bc+4abc
1628 221049 -174.0 104752 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable A2b
1629 221223 -593.0 98796 Skog (S) - Stor betydelse Soil Acidification NT Near Threatened A2b
1630 221816 -124.0 103463 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types CR Critically Endangered D
1631 221940 -38.0 94999 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable A2bc
1632 221978 -378.0 100568 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification NT Near Threatened A2bc+4abc
1633 222356 -215.0 95519 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(iii,v)
1634 222571 -205.0 96271 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a
1635 222776 -39.0 104486 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2bc+4abc
1636 222815 -520.0 97698 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2bc+4abc
1637 223335 -1,363.0 98488 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2a
1638 224698 -777.0 96110 Skog (S) - Stor betydelse, Urban miljö (U) - H... Forest overgrowth on other land types EN Endangered C2a(i)
1639 225475 -2,955.0 53454 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2a
1640 228430 -41.0 77130 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable A3bcd
1641 228471 -108.0 77242 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
1642 228579 -95.0 74822 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2bc+3c+4c; D1
1643 228674 -74.0 74204 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types DD Data Deficient NaN
1644 228748 -137.0 75343 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types DD Data Deficient NaN
1645 228885 -27.0 77434 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D1
1646 228912 -165.0 75602 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
1647 229077 -106.0 75835 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1648 229183 -9.0 75665 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
1649 229192 -244.0 75741 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting CR Critically Endangered D
1650 229436 -49.0 77725 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
1651 229485 -19.0 77468 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Water systems damage EN Endangered D
1652 229504 -37.0 76714 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened A2bc+3c+4c
1653 229541 -2.0 77818 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1654 229543 -15.0 77822 Skog (S) - Stor betydelse Clear-cutting CR Critically Endangered D
1655 229558 -1.0 77839 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D1
1656 229559 -10.0 77840 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types DD Data Deficient NaN
1657 229569 -40.0 76497 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Clear-cutting VU Vulnerable D1
1658 229609 -42.0 75312 Skog (S) - Stor betydelse Water systems damage VU Vulnerable D1
1659 229651 -2.0 72470 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching VU Vulnerable D1
1660 229653 -1.0 72472 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
1661 229654 -75.0 72474 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
1662 229729 -70.0 75999 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered D
1663 229799 -16.0 75196 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting NT Near Threatened D1
1664 229815 -6.0 74231 Skog (S) - Stor betydelse Clear-cutting CR Critically Endangered D
1665 229821 -146.0 76861 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened A2b+3d+4c; D1
1666 229967 -137.0 75388 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered D
1667 230104 -26.0 73004 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered D
1668 230130 -8.0 73838 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered D
1669 230138 -414.0 74222 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1670 230552 -625.0 76327 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable A2bc+4bc
1671 231177 -12.0 105724 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1672 231189 -1.0 105498 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); D
1673 231190 -1.0 105504 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1674 231191 -9.0 105509 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
1675 231200 -6.0 105547 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v); D
1676 231206 -1.0 105568 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1677 231207 -3.0 104908 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a; D1
1678 231210 -1.0 105587 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1679 231211 -5.0 105592 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1680 231216 -4.0 105612 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1681 231220 -1.0 105622 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); D
1682 231221 -1.0 105625 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable D1
1683 231222 -6.0 105628 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1684 231228 -3.0 105646 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1685 231231 -1.0 104949 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1686 231232 -2.0 105661 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1687 231234 -1.0 105671 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1688 231235 -1.0 105675 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1689 231236 -2.0 105682 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1690 231238 -1.0 105688 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1691 231239 -4.0 105696 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1692 231243 -7.0 105706 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1693 231250 -1.0 105735 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1694 231251 -2.0 105738 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1695 231253 -3.0 105743 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
1696 231256 -8.0 105752 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B2ab(ii,iii,iv,v); C2a(i)
1697 231264 -2.0 105772 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1698 231266 -1.0 105011 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
1699 231267 -2.0 105016 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
1700 231269 -11.0 105782 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1701 231280 -4.0 105027 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
1702 231284 -1.0 105035 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1703 231285 -3.0 105037 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a
1704 231288 -1.0 105811 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1705 231289 -2.0 105816 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1706 231291 -2.0 105823 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1707 231293 -1.0 105829 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1708 231294 -1.0 105833 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1709 231295 -12.0 105835 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1710 231307 -5.0 105865 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1711 231312 -12.0 105869 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1712 231324 -1.0 105907 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv)
1713 231325 -1.0 105910 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1714 231326 -2.0 105912 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1715 231328 -5.0 105916 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1716 231333 -2.0 105603 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1717 231335 -2.0 105933 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); D
1718 231337 -2.0 105941 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1719 231339 -2.0 105133 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable D1
1720 231341 -4.0 105946 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v)
1721 231345 -5.0 105953 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1722 231350 -2.0 105970 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1723 231352 -7.0 105974 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1724 231359 -1.0 105988 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1725 231360 -1.0 105992 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1726 231361 -2.0 105998 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v); C2a(i)
1727 231363 -1.0 106003 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1728 231364 -1.0 106005 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1729 231365 -1.0 106008 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1730 231366 -4.0 106010 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a
1731 231370 -1.0 106016 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
1732 231371 -1.0 106017 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1733 231372 -1.0 106020 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1734 231373 -1.0 106022 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1735 231374 -1.0 106025 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1736 231375 -1.0 106027 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1737 231376 -6.0 106030 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1738 231382 -4.0 105181 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered B2ab(ii,iii,iv,v)
1739 231386 -1.0 106047 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1740 231387 -3.0 106050 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1741 231390 -1.0 106058 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
1742 231391 -1.0 106061 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1743 231392 -2.0 106063 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1744 231394 -2.0 106072 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1745 231396 -1.0 106074 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1746 231397 -4.0 106078 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1747 231401 -6.0 105252 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1748 231407 -1.0 106098 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1749 231408 -1.0 105268 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered C2a(i)
1750 231409 -4.0 106100 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1751 231413 -1.0 106109 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1752 231414 -3.0 106112 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1753 231417 -4.0 106121 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1754 231421 -2.0 106130 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1755 231423 -2.0 106135 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1756 231425 -5.0 106142 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1757 231430 -4.0 106157 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1758 231434 -1.0 105307 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable D1
1759 231435 -6.0 106174 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1760 231441 -3.0 106189 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); D
1761 231444 -2.0 106192 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1762 231446 -3.0 106197 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1763 231449 -2.0 106200 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1764 231451 -3.0 106202 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1765 231454 -2.0 106204 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B2ab(ii,iii,iv,v); C2a(i)
1766 231456 -2.0 106205 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1767 231458 -1.0 106209 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1768 231459 -1.0 106211 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered C2a(i)
1769 231460 -1.0 106212 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1770 231461 -2.0 106214 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1771 231463 -5.0 105329 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable D1
1772 231468 -9.0 106219 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1773 231477 -1.0 104973 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v)
1774 231478 -2.0 104976 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1775 231480 -1.0 104888 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1776 231481 -3.0 104889 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1777 231484 -1.0 104890 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1778 231485 -9.0 104987 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1779 231494 -1.0 104892 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1780 231495 -2.0 104893 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1781 231497 -3.0 105013 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1782 231500 -2.0 105020 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1783 231502 -1.0 104897 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D
1784 231503 -4.0 105022 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1785 231507 -3.0 105028 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B2ab(ii,iii,iv,v); C2a(i)
1786 231510 -3.0 105032 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1787 231513 -4.0 105038 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1788 231517 -1.0 105043 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v); D
1789 231518 -3.0 104901 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1790 231521 -2.0 104902 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1791 231523 -3.0 104903 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1792 231526 -1.0 104904 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1793 231527 -4.0 105062 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1794 231531 -17.0 104910 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1795 231548 -2.0 104913 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1796 231550 -18.0 104914 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1797 231568 -1.0 105131 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1798 231569 -3.0 104941 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1799 231572 -1.0 105140 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1800 231573 -3.0 105142 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1801 231576 -6.0 104944 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1802 231582 -3.0 105154 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1803 231585 -1.0 104951 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1804 231586 -4.0 104954 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1805 231590 -2.0 105163 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered C2a(i)
1806 231592 -4.0 105166 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
1807 231596 -3.0 105172 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1808 231599 -3.0 104967 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1809 231602 -2.0 104970 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1810 231604 -3.0 105180 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1811 231607 -8.0 104975 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1812 231615 -1.0 105207 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1813 231616 -8.0 105211 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v)
1814 231624 -2.0 105235 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1815 231626 -5.0 105238 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1816 231631 -1.0 104992 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v)
1817 231632 -2.0 105249 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered C2a(i)
1818 231634 -4.0 104995 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1819 231638 -2.0 105256 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1820 231640 -5.0 105263 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1821 231645 -6.0 105274 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1822 231651 -2.0 105285 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1823 231653 -2.0 105290 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1824 231655 -3.0 105293 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1825 231658 -3.0 105008 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
1826 231661 -3.0 105303 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1827 231664 -1.0 105308 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1828 231665 -2.0 105311 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1829 231667 -1.0 105315 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1830 231668 -1.0 105319 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1831 231669 -2.0 105321 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1832 231671 -2.0 105324 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1833 231673 -4.0 105328 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1834 231677 -4.0 105023 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1835 231681 -4.0 105341 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1836 231685 -6.0 105347 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1837 231691 -1.0 105354 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v)
1838 231692 -7.0 105355 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1839 231699 -4.0 105371 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1840 231703 -2.0 105039 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1841 231705 -1.0 105381 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1842 231706 -4.0 105383 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1843 231710 -2.0 105390 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1844 231712 -4.0 105393 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v); C2a(i)
1845 231716 -6.0 105407 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v)
1846 231722 -3.0 105426 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1847 231725 -2.0 105438 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1848 231727 -2.0 105444 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1849 231729 -3.0 105450 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1850 231732 -5.0 105457 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)
1851 231737 -1.0 105068 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1852 231738 -3.0 105468 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1853 231741 -1.0 105477 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1854 231742 -1.0 105080 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1855 231743 -27.0 105482 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i); D
1856 231770 -4.0 105560 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered C2a(i)
1857 231774 -1.0 105573 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1858 231775 -2.0 105577 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1859 231777 -3.0 105583 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1860 231780 -5.0 105124 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
1861 231785 -1.0 105599 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1862 231786 -1.0 105608 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1863 231787 -2.0 105611 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1864 231789 -1.0 105127 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1865 231790 -6.0 105130 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1866 231796 -3.0 105132 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1867 231799 -8.0 105638 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1868 231807 -7.0 105664 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1869 231814 -1.0 105692 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered C2a(i)
1870 231815 -3.0 105703 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1871 231818 -5.0 105714 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1872 231823 -2.0 105726 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1873 231825 -1.0 105730 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1874 231826 -3.0 105141 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1875 231829 -1.0 105734 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1876 231830 -11.0 105143 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1877 231841 -1.0 105751 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1878 231842 -2.0 105754 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1879 231844 -4.0 105757 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1880 231848 -4.0 105762 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1881 231852 -2.0 105769 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1882 231854 -2.0 105773 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1883 231856 -2.0 105777 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1884 231858 -1.0 105785 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1885 231859 -5.0 105788 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered C2a(i)
1886 231864 -7.0 105153 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1887 231871 -3.0 105812 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1888 231874 -6.0 105158 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)
1889 231880 -1.0 105824 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v)
1890 231881 -1.0 105828 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting CR Critically Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1891 231882 -4.0 105830 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1892 231886 -2.0 105837 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1893 231888 -8.0 105161 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1894 231896 -8.0 105850 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v)
1895 231904 -4.0 105864 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting CR Critically Endangered B1ab(ii,iii,iv,v); C2a(i)
1896 231908 -2.0 105873 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1897 231910 -1.0 105171 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1898 231911 -9.0 105876 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting EN Endangered B2ab(ii,iii,iv,v); D
1899 231920 -4.0 105179 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); D
1900 231924 -4.0 105894 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1901 231928 -5.0 105899 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i); D
1902 231933 -4.0 105906 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1903 231937 -7.0 105215 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1904 231944 -6.0 105226 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1905 231950 -1.0 105924 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1906 231951 -8.0 105234 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1907 231959 -7.0 105942 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i); D
1908 231966 -2.0 105954 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i); D
1909 231968 -1.0 105958 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v)
1910 231969 -6.0 105959 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered C2a(i)
1911 231975 -1.0 105968 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types DD Data Deficient NaN
1912 231976 -1.0 105969 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i); D
1913 231977 -5.0 105971 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1914 231982 -3.0 105257 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1915 231985 -1.0 105259 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1916 231986 -2.0 105262 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1917 231988 -11.0 105980 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1918 231999 -3.0 106000 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1919 232002 -2.0 105278 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1920 232004 -4.0 105281 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1921 232008 -1.0 105286 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1922 232009 -3.0 106007 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1923 232012 -1.0 106012 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i); D
1924 232013 -4.0 106015 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1925 232017 -6.0 105289 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
1926 232023 -7.0 106032 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1927 232030 -10.0 106042 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1928 232040 -1.0 105297 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1929 232041 -2.0 105299 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D
1930 232043 -1.0 105302 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); D
1931 232044 -3.0 106059 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1932 232047 -1.0 106062 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1933 232048 -4.0 106066 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); D
1934 232052 -3.0 105312 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1935 232055 -1.0 106073 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1936 232056 -4.0 105320 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(i,ii,iii,iv)+2ab(i,ii,iii,iv); D1
1937 232060 -4.0 106079 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); C2a(i)
1938 232064 -3.0 105322 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
1939 232067 -1.0 106092 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered C2a(i)
1940 232068 -3.0 106093 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1941 232071 -2.0 105325 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1942 232073 -7.0 106104 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
1943 232080 -8.0 106116 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1944 232088 -8.0 106133 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
1945 232096 -8.0 106147 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v)
1946 232104 -6.0 106161 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1947 232110 -1.0 106172 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1948 232111 -1.0 105332 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v)
1949 232112 -1.0 105334 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1950 232113 -5.0 106176 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
1951 232118 -2.0 105336 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v)
1952 232120 -1.0 105340 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
1953 232121 -15.0 105343 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(i,ii,iii,iv)+2ab(i,ii,iii,iv); C2a(i)
1954 232136 -2.0 99639 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered D
1955 232138 -1.0 88496 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
1956 232139 -1.0 82996 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
1957 232140 -4.0 89064 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
1958 232144 -1.0 42671 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); E
1959 232145 -2.0 42672 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B1b(ii,iii,v)c(iv)+2b(ii,iii,v)c(iv)
1960 232147 -13.0 76172 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching CR Critically Endangered D
1961 232160 -1.0 13683 Skog (S) - Stor betydelse, Urban miljö (U) - S... Clear-cutting EN Endangered B2ab(ii,iii,iv)c(iv)
1962 232161 -1.0 13410 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B1ab(ii,iii)c(ii,iv)+2ab(ii,iii)c(ii,iv)
1963 232162 -1.0 17977 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2c(ii,iii,iv)
1964 232163 -19.0 24492 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting VU Vulnerable D2
1965 232182 -3.0 22769 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)c(iii)
1966 232185 -39.0 22811 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable B2ab(ii,iii,iv)c(iv)
1967 232224 -24.0 56078 Skog (S) - Stor betydelse, Urban miljö (U) - H... Clear-cutting NT Near Threatened A4c
1968 232248 -13.0 80146 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting RE Regionally Extinct NaN
1969 232261 -5.0 76264 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting RE Regionally Extinct NaN
1970 232266 -1.0 57058 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable D1
1971 232267 -7.0 57067 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest ditching CR Critically Endangered D
1972 232274 -656.0 87005 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i); D
1973 232930 -95.0 88934 Skog (S) - Stor betydelse Forest ditching DD Data Deficient NaN
1974 233025 -10.0 88103 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
1975 233035 -156.0 88105 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
1976 233191 -1.0 87287 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
1977 233192 -2.0 87315 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D1
1978 233194 -2.0 87317 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
1979 233196 -13.0 87332 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C2a(i)
1980 233209 -37.0 88067 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable C2a(i)
1981 233246 -7.0 91795 Skog (S) - Stor betydelse, Jordbrukslandskap (... Climate change DD Data Deficient NaN
1982 233253 -931.0 93568 Skog (S) - Stor betydelse, Sötvatten (L) - Har... Clear-cutting EN Endangered D
1983 234184 -165.0 29986 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v)
1984 234349 -96.0 29512 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(i,iii)
1985 234445 -196.0 29360 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(i,ii,iii,iv)
1986 234641 -1.0 18891 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest ditching NT Near Threatened B2ab(iii,iv,v)
1987 234642 -226.0 18892 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest ditching NT Near Threatened B2ab(iii,iv,v)
1988 234868 -5.0 26067 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
1989 234873 -1,358.0 26108 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting DD Data Deficient NaN
1990 236231 -29.0 13330 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(i,iii,iv,v)
1991 236260 -2.0 18519 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Forest overgrowth on other land types NT Near Threatened B2ab(i,ii,iii)
1992 236262 -33.0 18521 Skog (S) - Stor betydelse, Sötvatten (L) - Sto... Forest ditching NT Near Threatened B1ab(i,ii,iv,v)+2ab(i,ii,iv,v)
1993 236295 -20.0 12928 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting NT Near Threatened B2ab(iii)
1994 236315 -129.0 7600 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2a
1995 236444 -38.0 85501 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1996 236482 -2,582.0 85241 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
1997 239064 -169.0 82925 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
1998 239233 -497.0 84392 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened C2a(i)
1999 239730 -7.0 88096 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2000 239737 -190.0 89015 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
2001 239927 -295.0 13449 Skog (S) - Stor betydelse, Våtmark (V) - Stor ... Water systems damage NT Near Threatened B2ac(iv)
2002 240222 -53.0 13869 Skog (S) - Stor betydelse Clear-cutting EN Endangered B2ab(iii,iv)c(iv)
2003 240275 -7.0 17981 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(i,ii,iv)
2004 240282 -13.0 17978 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B1ab(iii)c(ii,iii,iv)+2ab(iii)c(ii,iii,iv)
2005 240295 -122.0 18000 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2006 240417 -6.0 17419 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(ii,iii,iv)
2007 240423 -14.0 17429 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(ii,iii,iv)
2008 240437 -1.0 14418 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2b(iii)
2009 240438 -35.0 14419 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2b(iii)
2010 240473 -1.0 14464 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
2011 240474 -553.0 14465 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
2012 241027 -82.0 19465 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting VU Vulnerable B2ab(ii,iii,iv)
2013 241109 -19.0 19562 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting NT Near Threatened B2ab(iii)
2014 241128 -624.0 19597 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
2015 241752 -2,209.0 18018 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii)
2016 243961 -1,067.0 16244 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B1ab(iii)+2ab(iii)
2017 245028 -3.0 85543 Skog (S) - Stor betydelse Forest ditching NT Near Threatened D1
2018 245031 -12.0 86337 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C2a(i)
2019 245043 -1.0 86303 Skog (S) - Stor betydelse Forest overgrowth on other land types EN Endangered D
2020 245044 -95.0 86428 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
2021 245139 -370.0 85733 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2022 245509 -119.0 86961 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2023 245628 -2,909.0 86982 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2024 248537 -34.0 53227 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2b(iii)
2025 248571 -170.0 52473 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
2026 248741 -189.0 88758 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2027 248930 -3.0 83606 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
2028 248933 -1.0 83978 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2029 248934 -1.0 83560 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C1+2a(i)
2030 248935 -4.0 83711 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
2031 248939 -1.0 83954 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable A2c; C2a(i)
2032 248940 -2.0 83772 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2033 248942 -2.0 83732 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
2034 248944 -4.0 83770 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
2035 248948 -3.0 83466 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2036 248951 -1.0 83508 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
2037 248952 -1.0 83533 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
2038 248953 -1.0 83607 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened A2c+3c+4c; C2a(i)
2039 248954 -1.0 83601 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
2040 248955 -1.0 83766 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
2041 248956 -1.0 83706 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
2042 248957 -1.0 83751 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2043 248958 -1.0 83858 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
2044 248959 -208.0 83966 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
2045 249167 -59.0 29881 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(iii,v)+2ab(iii,v)
2046 249226 -1.0 83749 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
2047 249227 -5.0 83627 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types CR Critically Endangered C2a(i)
2048 249232 -4.0 83487 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable C2a(i)
2049 249236 -1.0 83826 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
2050 249237 -3.0 83894 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
2051 249240 -1.0 83740 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
2052 249241 -1.0 83633 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
2053 249242 -1.0 83701 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2054 249243 -3.0 83896 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
2055 249246 -2.0 83760 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2056 249248 -1.0 83876 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2057 249249 -5.0 83821 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2058 249254 -24.0 83491 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
2059 249278 -32.0 83463 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
2060 249310 -69.0 83746 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable D1
2061 249379 -34.0 85636 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
2062 249413 -526.0 22812 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting NT Near Threatened B1ac(iv)
2063 249939 -54.0 75273 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
2064 249993 -79.0 71859 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered D
2065 250072 -24.0 88455 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened D1
2066 250096 -45.0 88195 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
2067 250141 -2.0 22755 Skog (S) - Stor betydelse Clear-cutting RE Regionally Extinct NaN
2068 250143 -122.0 22758 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
2069 250265 -20.0 7110 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii,iv)
2070 250285 -991.0 88413 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
2071 251276 -1.0 104905 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
2072 251277 -1.0 104911 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(i,ii,iii,iv,v)
2073 251278 -1.0 105175 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
2074 251279 -17.0 105565 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(i,ii,iii,iv)
2075 251296 -1.0 105780 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2a; D1
2076 251297 -10.0 105014 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
2077 251307 -1.0 105042 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v); D
2078 251308 -1.0 105047 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
2079 251309 -1.0 105818 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
2080 251310 -1.0 105831 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
2081 251311 -2.0 105462 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
2082 251313 -1.0 105875 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(ii,iii,iv,v)
2083 251314 -2.0 105543 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B2ab(ii,iii,iv,v); C2a(i)
2084 251316 -27.0 105685 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types CR Critically Endangered B2ab(ii,iii,iv,v); C2a(i)
2085 251343 -119.0 33513 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B1ab(iii)
2086 251462 -2.0 105033 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
2087 251464 -2.0 105972 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
2088 251466 -345.0 105147 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
2089 251811 -88.0 105210 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
2090 251899 -1.0 106194 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable B2ab(ii,iii,iv,v); D1
2091 251900 -485.0 106125 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); C2a(i)
2092 252385 -1.0 80224 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2093 252386 -1.0 79865 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Clear-cutting VU Vulnerable D1
2094 252387 -1.0 87746 Skog (S) - Stor betydelse Clear-cutting EN Endangered A3ce
2095 252388 -3.0 82167 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types DD Data Deficient NaN
2096 252391 -1,389.0 72306 Skog (S) - Stor betydelse Clear-cutting EN Endangered A2c
2097 253780 -12.0 87928 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2098 253792 -18.0 87900 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2099 253810 -15.0 88559 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
2100 253825 -1,876.0 88422 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2101 255701 -177.0 37599 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting EN Endangered B2ab(v)
2102 255878 -2.0 38297 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
2103 255880 -6.0 38299 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2b(iii)
2104 255886 -10.0 38332 Skog (S) - Stor betydelse Fire prevention DD Data Deficient NaN
2105 255896 -17.0 38343 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types DD Data Deficient NaN
2106 255913 -10.0 38371 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii,iv)
2107 255923 -32.0 38306 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
2108 255955 -19.0 38455 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii,iv)
2109 255974 -1.0 38481 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2ab(iii)
2110 255975 -30.0 38482 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
2111 256005 -6.0 38492 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2b(iii,iv)
2112 256011 -1.0 38310 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(iii)
2113 256012 -1.0 38311 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2b(iii)
2114 256013 -5.0 38502 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D2
2115 256018 -265.0 38511 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable B2ab(iii)
2116 256283 -3.0 38883 Skog (S) - Stor betydelse Fire prevention VU Vulnerable B2ab(iii)
2117 256286 -3.0 38886 Skog (S) - Stor betydelse Fire prevention NT Near Threatened B2ab(iii)
2118 256289 -2.0 38889 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(iii)
2119 256291 -4.0 38894 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2b(iii)
2120 256295 -5.0 38899 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B1ab(iii)
2121 256300 -35.0 38904 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2b(iii)
2122 256335 -2.0 87323 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
2123 256337 -419.0 79862 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
2124 256756 -84.0 87327 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened A2c+3c+4c; C2a(i)
2125 256840 -1.0 87304 Skog (S) - Stor betydelse Clear-cutting EN Endangered C2a(i)
2126 256841 -1.0 87319 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened D1
2127 256842 -265.0 87336 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
2128 257107 -1.0 76548 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Forest overgrowth on other land types NT Near Threatened A2bc+3bc+4bc
2129 257108 -1,468.0 77122 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types VU Vulnerable A3bc+4bc
2130 258576 -1,237.0 43416 Skog (S) - Stor betydelse Clear-cutting EN Endangered B1ab(iii)+2ab(iii)
2131 259813 -762.0 79754 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
2132 260575 -1,592.0 88170 Skog (S) - Stor betydelse Clear-cutting EN Endangered D
2133 262167 -1,421.0 57048 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest ditching EN Endangered D
2134 263588 -555.0 81245 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2135 264143 -4.0 76709 Skog (S) - Stor betydelse Soil Acidification RE Regionally Extinct NaN
2136 264147 -303.0 71892 Skog (S) - Stor betydelse, Jordbrukslandskap (... Soil Acidification RE Regionally Extinct NaN
2137 264450 -392.0 98757 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B1ab(iii,v)+2ab(iii,v)
2138 264842 -1,273.0 4785 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2139 266115 -2.0 105081 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types NT Near Threatened B2a; D1
2140 266117 -1.0 105052 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types NT Near Threatened B1ab(ii,iii,iv,v)+2ab(ii,iii,iv,v); D1
2141 266118 -10.0 105054 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types VU Vulnerable D1
2142 266128 -5.0 105083 Skog (S) - Stor betydelse, Fjäll (F) - Har bet... Forest overgrowth on other land types VU Vulnerable D1
2143 266133 -1.0 105070 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
2144 266134 -1,185.0 105069 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered C2a(i)
2145 267319 -5,732,869.0 6541 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2146 6000188 -60.0 77467 Jordbrukslandskap (J) - Stor betydelse, Skog (... Forest overgrowth on other land types EN Endangered D
2147 6000248 -1,736.0 74821 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2148 6001984 -944.0 10970 Skog (S) - Stor betydelse Fire prevention DD Data Deficient NaN
2149 6002928 -7.0 93567 Skog (S) - Stor betydelse, Sötvatten (L) - Har... Forest ditching VU Vulnerable D1
2150 6002935 -35.0 78528 Skog (S) - Stor betydelse, Jordbrukslandskap (... Clear-cutting DD Data Deficient NaN
2151 6002970 -2.0 6471 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened B2ab(iii)
2152 6002972 -144.0 6490 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2153 6003116 -1.0 86411 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c; C2a(i)
2154 6003117 -21.0 86359 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c; C2a(i)
2155 6003138 -91.0 86335 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2156 6003229 -6.0 89031 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1
2157 6003235 -60.0 83793 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable C2a(i)
2158 6003295 -1.0 83989 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
2159 6003296 -1.0 83940 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C2a(i)
2160 6003297 -1.0 89025 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable A2c+3c+4c
2161 6003298 -114.0 89028 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable A2c+3c+4c; C2a(i)
2162 6003412 -74.0 74843 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2163 6003486 -68.0 18016 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2164 6003554 -1,917.0 87228 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2165 6005471 -701.0 83736 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2166 6006172 -615.0 79312 Skog (S) - Stor betydelse Forest overgrowth on other land types DD Data Deficient NaN
2167 6006787 -1,906.0 38508 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable B2ab(iii)
2168 6008693 -319.0 88040 Skog (S) - Stor betydelse Fire prevention CR Critically Endangered C2a(i)
2169 6009012 -3.0 38330 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)
2170 6009015 -347.0 38906 Skog (S) - Stor betydelse Forest overgrowth on other land types NT Near Threatened B2ab(iii)
2171 6009362 -628.0 18867 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable B2ab(iii)
2172 6009990 -722.0 19732 Skog (S) - Stor betydelse, Våtmark (V) - Har b... Climate change DD Data Deficient NaN
2173 6010712 -502.0 17974 Skog (S) - Stor betydelse Fire prevention DD Data Deficient NaN
2174 6011214 -26.0 104254 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D2
2175 6011240 -26,177.0 11394 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2176 6037417 -115.0 83823 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened C2a(i)
2177 6037532 -1.0 99847 Skog (S) - Stor betydelse Forest overgrowth on other land types CR Critically Endangered B1ab(v)+2ab(v); C1+2a(i,ii); D
2178 6037533 -1.0 99832 Skog (S) - Stor betydelse Forest overgrowth on other land types VU Vulnerable D1+2
2179 6037534 -2,407.0 99953 Jordbrukslandskap (J) - Stor betydelse, Skog (... Clear-cutting CR Critically Endangered D
2180 6039941 -122.0 87328 Skog (S) - Stor betydelse Clear-cutting DD Data Deficient NaN
2181 6040063 -2.0 87309 Skog (S) - Stor betydelse Clear-cutting VU Vulnerable D1
2182 6040065 -97.0 87321 Skog (S) - Stor betydelse, Jordbrukslandskap (... Forest overgrowth on other land types EN Endangered C2a(i)
2183 6040162 -24.0 88142 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
2184 6040186 6,040,186.0 88143 Skog (S) - Stor betydelse Clear-cutting NT Near Threatened A2c+3c+4c
In [255]:
forest_redlisted_factors_piv= pd.pivot_table(forest_redlisted_factors, index= 'RedListCategory EXPLAINED', columns='Factor for Negative Outlook', values='species id', aggfunc= 'count', margins= True)
In [256]:
forest_redlisted_factors_piv= forest_redlisted_factors_piv.reset_index()
In [257]:
forest_redlisted_factors_piv= forest_redlisted_factors_piv[['RedListCategory EXPLAINED', 'Clear-cutting', 'Forest overgrowth on other land types', 'Forest replanting', 'Forest ditching', 'Fire prevention', 'Soil Acidification', 'Water systems damage', 'Pesticides', 'Climate change']]
In [258]:
forest_redlisted_factors_piv= forest_redlisted_factors_piv[:-1]
In [259]:
forest_redlisted_factors_piv= forest_redlisted_factors_piv.fillna(0)
In [260]:
forest_redlisted_factors_piv.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 6 entries, 0 to 5
Data columns (total 10 columns):
 #   Column                                 Non-Null Count  Dtype  
---  ------                                 --------------  -----  
 0   RedListCategory EXPLAINED              6 non-null      object 
 1   Clear-cutting                          6 non-null      float64
 2   Forest overgrowth on other land types  6 non-null      float64
 3   Forest replanting                      6 non-null      float64
 4   Forest ditching                        6 non-null      float64
 5   Fire prevention                        6 non-null      float64
 6   Soil Acidification                     6 non-null      float64
 7   Water systems damage                   6 non-null      float64
 8   Pesticides                             6 non-null      float64
 9   Climate change                         6 non-null      float64
dtypes: float64(9), object(1)
memory usage: 608.0+ bytes
In [261]:
forest_redlisted_factors_piv['order']= [4, 0, 2, 1, 5, 3]
In [262]:
forest_redlisted_factors_piv.head()
Out[262]:
Factor for Negative Outlook RedListCategory EXPLAINED Clear-cutting Forest overgrowth on other land types Forest replanting Forest ditching Fire prevention Soil Acidification Water systems damage Pesticides Climate change order
0 Critically Endangered 20.0 55.0 1.0 12.0 1.0 5.0 5.0 4.0 1.0 4
1 Data Deficient 96.0 23.0 0.0 14.0 6.0 1.0 3.0 0.0 3.0 0
2 Endangered 102.0 246.0 1.0 24.0 9.0 20.0 1.0 3.0 6.0 2
3 Near Threatened 295.0 288.0 4.0 80.0 32.0 36.0 4.0 8.0 7.0 1
4 Regionally Extinct 30.0 9.0 0.0 4.0 5.0 8.0 0.0 0.0 0.0 5
In [263]:
forest_redlisted_factors_piv= forest_redlisted_factors_piv.sort_values(by='order')
In [264]:
forest_redlisted_factors_piv=  pd.melt(forest_redlisted_factors_piv, id_vars= ['RedListCategory EXPLAINED'], 
                                       value_vars= forest_redlisted_factors_piv.columns[1:10], 
                                       var_name= 'Factor for Negative Dev.', value_name= 'Number of Species Affected' )
In [265]:
forest_redlisted_factors_piv= forest_redlisted_factors_piv.rename(columns= {'RedListCategory EXPLAINED': 'Red List Category'})
forest_redlisted_factors_piv= forest_redlisted_factors_piv.rename(columns= {'Factor for Negative Dev.': 'Factor for Negative Development'})
In [266]:
forest_redlisted_factors_piv.head()
Out[266]:
Red List Category Factor for Negative Development Number of Species Affected
0 Data Deficient Clear-cutting 96.0
1 Near Threatened Clear-cutting 295.0
2 Endangered Clear-cutting 102.0
3 Vulnerable Clear-cutting 250.0
4 Critically Endangered Clear-cutting 20.0
In [268]:
import plotly.graph_objects as go
from plotly.subplots import make_subplots


fig = go.Figure()

fig = px.bar(forest_redlisted_factors_piv, x='Factor for Negative Development', y='Number of Species Affected', 
                 color='Red List Category',
             color_discrete_sequence=px.colors.sequential.thermal_r,
#             color_discrete_map={'Data Deficient': 'rgb(220,220,220)', 
#                                      'Near Threatened': 'rgb(236,192,185)'}, 
#                                 
            range_y= [0,1200])

#        
fig.update_layout(
        width=1000,
    height=600,
#      plot_bgcolor='rgba(0,0,0,0)',
    title={
        'text': "<b>Forestry Practices Directly Affecting Redlisted Species" ,
        'y':0.95,
        'x':0.42,
        'xanchor': 'center',
        'yanchor': 'top'})

# fig.add_annotation(x=0, y=2000,
#             text="Natural Forest",
#             showarrow=False,
#                  font=dict(
# #             family="Courier New, monospace",
#             size=16))

fig.update_layout(xaxis_title="Factor for Negative Development*")
    
fig.show()

Look for data to show the type of species affected by clear cutting (pie?)¶

In [ ]:
 
In [ ]:
 
In [ ]:
 
In [144]:
bar_animated_pivot.head()
Out[144]:
Year Region Age Category Surface (1000 hectares) Order
600 2005 Götaland Clear-cut 205.3 1
300 2005 Götaland 3-10 years old 386.6 2
60 2005 Götaland 11 - 20 years old 433.2 3
240 2005 Götaland 21 - 30 years old 455.2 4
360 2005 Götaland 31 - 40 years old 499.9 5
In [267]:
help(px.colors.sequential)
Help on module _plotly_utils.colors.sequential in _plotly_utils.colors:

NAME
    _plotly_utils.colors.sequential - Sequential color scales are appropriate for most continuous data, but in some cases it can be helpful to use a `plotly.colors.diverging` or `plotly.colors.cyclical` scale instead. The color scales in this module are mostly meant to be passed in as the `color_continuous_scale` argument to various functions.

FUNCTIONS
    swatches(template=None)
        Parameters
        ----------
        template : str or dict or plotly.graph_objects.layout.Template instance
            The figure template name or definition.
        
        Returns
        -------
        fig : graph_objects.Figure containing the displayed image
            A `Figure` object. This figure demonstrates the color scales and
            sequences in this module, as stacked bar charts.

DATA
    __all__ = ['swatches']

FILE
    c:\users\mihai\appdata\roaming\python\python39\site-packages\_plotly_utils\colors\sequential.py


In [ ]:
['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
             'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
             'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
             'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
             'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
             'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
             'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
             'orrd', 'oryel', 'oxy', 'peach', 'phase', 'picnic', 'pinkyl',
             'piyg', 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn',
             'puor', 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu',
             'rdgy', 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar',
             'spectral', 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn',
             'tealrose', 'tempo', 'temps', 'thermal', 'tropic', 'turbid',
             'turbo', 'twilight', 'viridis', 'ylgn', 'ylgnbu', 'ylorbr',
             'ylorrd'].
        Appending '_r' to a named colorscale reverses it.
In [ ]:
 

forest living species are the ones defined by SLU as species living in forest environment where this environment is essential for survivalforest overgrowth on other land types refers to mixed land types like Grazing areas with tree cover, bush areas, mires, and so on. When those areas are turned into forest (with or without intent) the composition of species is greatly affected. *naturally occuring fires have been proven to sustain a large number of species, as those species thrive on the remains of the fire (such as dead wood for food and shelter)

In conclusion, any large scale man-made influence will greatly affect the species which are dependent on forest-type environments. But greatest of them all is clear-cutting.¶

In [316]:
df = px.data.wind()
In [317]:
df
Out[317]:
direction strength frequency
0 N 0-1 0.5
1 NNE 0-1 0.6
2 NE 0-1 0.5
3 ENE 0-1 0.4
4 E 0-1 0.4
5 ESE 0-1 0.3
6 SE 0-1 0.4
7 SSE 0-1 0.4
8 S 0-1 0.6
9 SSW 0-1 0.4
10 SW 0-1 0.5
11 WSW 0-1 0.6
12 W 0-1 0.6
13 WNW 0-1 0.5
14 NW 0-1 0.4
15 NNW 0-1 0.1
16 N 1-2 1.6
17 NNE 1-2 1.8
18 NE 1-2 1.5
19 ENE 1-2 1.6
20 E 1-2 1.6
21 ESE 1-2 1.2
22 SE 1-2 1.5
23 SSE 1-2 1.7
24 S 1-2 2.2
25 SSW 1-2 2.0
26 SW 1-2 2.3
27 WSW 1-2 2.4
28 W 1-2 2.3
29 WNW 1-2 2.6
30 NW 1-2 2.3
31 NNW 1-2 0.8
32 N 2-3 0.9
33 NNE 2-3 1.3
34 NE 2-3 1.6
35 ENE 2-3 0.9
36 E 2-3 1.0
37 ESE 2-3 0.6
38 SE 2-3 0.6
39 SSE 2-3 0.9
40 S 2-3 1.4
41 SSW 2-3 1.7
42 SW 2-3 1.9
43 WSW 2-3 2.2
44 W 2-3 1.8
45 WNW 2-3 1.7
46 NW 2-3 1.8
47 NNW 2-3 0.8
48 N 3-4 0.9
49 NNE 3-4 0.8
50 NE 3-4 1.2
51 ENE 3-4 1.0
52 E 3-4 0.8
53 ESE 3-4 0.4
54 SE 3-4 0.5
55 SSE 3-4 0.5
56 S 3-4 0.8
57 SSW 3-4 0.9
58 SW 3-4 1.3
59 WSW 3-4 1.1
60 W 3-4 1.2
61 WNW 3-4 1.2
62 NW 3-4 1.3
63 NNW 3-4 1.0
64 N 4-4 0.4
65 NNE 4-4 0.5
66 NE 4-4 1.2
67 ENE 4-4 0.5
68 E 4-4 0.4
69 ESE 4-4 0.2
70 SE 4-4 0.4
71 SSE 4-4 0.4
72 S 4-4 0.7
73 SSW 4-4 0.6
74 SW 4-4 0.7
75 WSW 4-4 0.8
76 W 4-4 0.9
77 WNW 4-4 1.0
78 NW 4-4 1.0
79 NNW 4-4 0.7
80 N 4-5 0.3
81 NNE 4-5 0.3
82 NE 4-5 0.6
83 ENE 4-5 0.2
84 E 4-5 0.1
85 ESE 4-5 0.1
86 SE 4-5 0.1
87 SSE 4-5 0.1
88 S 4-5 0.1
89 SSW 4-5 0.2
90 SW 4-5 0.3
91 WSW 4-5 0.4
92 W 4-5 0.9
93 WNW 4-5 0.9
94 NW 4-5 0.9
95 NNW 4-5 0.3
96 N 5-6 0.2
97 NNE 5-6 0.1
98 NE 5-6 0.1
99 ENE 5-6 0.1
100 E 5-6 0.1
101 ESE 5-6 0.1
102 SE 5-6 0.1
103 SSE 5-6 0.1
104 S 5-6 0.1
105 SSW 5-6 0.1
106 SW 5-6 0.2
107 WSW 5-6 0.2
108 W 5-6 0.4
109 WNW 5-6 0.7
110 NW 5-6 0.7
111 NNW 5-6 0.4
112 N 6+ 0.1
113 NNE 6+ 0.1
114 NE 6+ 0.1
115 ENE 6+ 0.1
116 E 6+ 0.1
117 ESE 6+ 0.1
118 SE 6+ 0.1
119 SSE 6+ 0.1
120 S 6+ 0.1
121 SSW 6+ 0.1
122 SW 6+ 0.1
123 WSW 6+ 0.1
124 W 6+ 0.9
125 WNW 6+ 2.2
126 NW 6+ 1.5
127 NNW 6+ 0.2
In [ ]: